CN103768763B - Intelligent bicycle and operation method thereof - Google Patents

Abstract

The invention discloses an intelligent bicycle and an operating method thereof. In the test mode, the processing unit adjusts the resistance of the pedaling activity to multiple pedaling resistances, and measures the physiological characteristics of the user. Therefore, the processing unit obtains a plurality of physiological values respectively corresponding to the pedaling resistances. The processing unit calculates the physiological values respectively to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances, and further obtains the corresponding relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a recommended pedaling resistance based on the corresponding relationship. In the sports mode, the user is provided to perform the pedaling activity with the recommended pedaling resistance. Intelligent bicycles can determine the recommended pedaling resistance based on the user's physiological characteristics and/or conscious feelings of exercise.

Description

Intelligent bicycle and its operation method

technical field

The invention relates to an intelligent bicycle and its operating method.

Background technique

The exercise bike (also known as a bicycle) installed indoors allows users to achieve fitness exercises in a limited space, allowing users to perform pedaling exercises like riding a bicycle. Traditional bicycles allow users to manually adjust/set the resistance intensity of pedaling activities. For general users or inexperienced users, it is often impossible to determine the resistance intensity that suits them. Therefore, the user may choose the wrong or too strong resistance to exercise, which may not only fail to achieve the appropriate exercise effect, but also may cause exercise injuries. In addition, during use, traditional bicycles cannot automatically adjust the resistance intensity of pedaling activities in real time according to changes in the user's physiological conditions and self-awareness of exercise.

Contents of the invention

The invention provides an intelligent bicycle and an operation method thereof, which can determine and recommend pedaling resistance according to the user's physiological characteristics and/or self-conscious feeling of exercise.

An embodiment of the present invention provides an intelligent bicycle, including a pedaling mechanism, a resistance unit, a physiological measurement unit, and a processing unit. The pedaling mechanism provides users with pedaling activities. The resistance unit is connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity. The processing unit is coupled to the resistance unit and the physiological measurement unit. In the measurement mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to multiple pedaling resistances, and measures the physiological characteristics of the user through the physiological measurement unit to obtain multiple physiological values respectively corresponding to the pedaling resistances. The processing unit respectively calculates the physiological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances, and then obtains a first corresponding relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform pedaling activities in the sports mode.

An embodiment of the present invention proposes an operating method for a smart bicycle, including: providing a pedaling mechanism for the user to perform pedaling activities; In the formula mode, the physiological characteristics of the user are measured to obtain a plurality of physiological values corresponding to the pedaling resistances; the processing unit calculates the physiological values respectively to obtain a plurality of exercise intensities corresponding to the pedaling resistances, Then obtain the first corresponding relationship between the exercise intensities and the pedaling resistances; after the measurement mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship; and in the exercise mode, provides The user performs the pedaling activity with the suggested pedaling resistance.

An embodiment of the present invention proposes a smart bicycle, including a pedaling mechanism, a resistance unit, a guiding unit, and a processing unit. The pedaling mechanism provides users with pedaling activities. The resistance unit is connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of pedaling activities. The processing unit is coupled to the resistance unit and the guiding unit. In the testing mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to multiple pedaling resistances, and asks the user's self-conscious feeling through the guidance unit to obtain multiple psychological values respectively corresponding to the pedaling resistances. The processing unit respectively calculates the psychological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances, and then obtains a first corresponding relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform the pedaling activity in the exercise mode.

An embodiment of the present invention proposes an operating method for a smart bicycle, including: providing a pedaling mechanism for the user to perform pedaling activities; in the test mode, adjusting the resistance of the pedaling activity to multiple pedaling resistances by the processing unit; In the testing mode, the user is asked about his conscious feelings to obtain a plurality of psychological values corresponding to the pedaling resistances; the processing unit calculates the psychological values respectively to obtain a plurality of psychological values corresponding to the pedaling resistances respectively. exercise intensity, and then obtain a first corresponding relationship between the exercise intensity and the pedaling resistance; after the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship; and In the mode, the user is provided to perform the pedaling activity with the suggested pedaling resistance.

Based on the above, an embodiment of the present invention provides a smart bicycle and an operating method thereof. According to the user's physiological characteristics and/or self-conscious feeling of exercise, the smart bicycle can obtain the corresponding relationship between the user's exercise intensity and the resistance of the pedaling activity in the test mode. According to the corresponding relationship, the smart bicycle can automatically determine a personalized recommended pedaling resistance, so as to provide the user with the recommended pedaling resistance to perform pedaling activities. Therefore, the smart bicycle can automatically find out the best resistance strength suitable for the user, so as to avoid sports injuries caused by choosing the wrong resistance. In some embodiments, the smart bicycle can automatically adjust the resistance intensity of the pedaling activity in real time according to the change of the user's physiological condition and/or self-awareness of exercise.

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail together with the accompanying drawings.

Description of drawings

Fig. 1 is a schematic diagram illustrating the appearance of a smart bicycle according to an embodiment of the present invention;

FIG. 2 is a functional block diagram illustrating a smart bicycle according to an embodiment of the present invention;

Fig. 3 is a functional block diagram illustrating a resistance unit according to an embodiment of the present invention;

Fig. 4 is a schematic flowchart illustrating an operation method of a smart bicycle according to an embodiment of the present invention;

Fig. 5 is a schematic flow chart illustrating the test mode shown in Fig. 4 according to an embodiment of the present invention;

Fig. 6 is a schematic diagram of a screen illustrating that the pointing unit asks the user's self-conscious feeling according to an embodiment of the present invention;

7 is a schematic diagram illustrating the relationship between heart rate and exercise intensity according to an embodiment of the present invention;

Fig. 8 is a schematic diagram illustrating a screen showing a test result displayed by an indicating unit according to an embodiment of the present invention;

Fig. 9 is a schematic flowchart illustrating the exercise mode shown in Fig. 4 according to an embodiment of the present invention;

Fig. 10 is a schematic flowchart illustrating an operation method of a smart bicycle according to another embodiment of the present invention;

FIG. 11 is a schematic flowchart illustrating the test mode shown in FIG. 10 according to an embodiment of the present invention;

Fig. 12 is a schematic flowchart illustrating an operation method of a smart bicycle 100 according to another embodiment of the present invention;

Fig. 13 is a schematic flowchart illustrating an operation method of a smart bicycle according to a further embodiment of the present invention;

FIG. 14 is a schematic flow chart illustrating the test mode shown in FIG. 13 according to an embodiment of the present invention;

FIG. 15 is a schematic flowchart illustrating an operation method of a smart bicycle according to yet another embodiment of the present invention.

[Description of main component symbols]

100: smart bike

110: Guidance Unit

120: pedal mechanism

130: resistance unit

131: Control unit

132: Motor drive circuit

133: resistance magnetic control motor

134: Motor resistance position unit

140: Physiological Measurement Unit

150: processing unit

151: Data acquisition and control module

152: Interactive Feedback Module

153: Logic Calculus Analysis Unit

154: Feedback control unit

155: Interface output unit

156: Data acquisition unit

160: database

S410～S445, S1010～S1050, S1205～S1250, S1310～S1340, S1505～S1550: steps

detailed description

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

As used throughout the present specification (including claims), the term "coupled" may refer to any connection means, direct or indirect. For example, if it is described in the text that a first device is coupled to a second device, it should be interpreted that the first device can be directly connected to the second device, or the first device can be connected through other devices or some kind of connection means. indirectly connected to the second device.

The intelligent bicycle and its operating method disclosed in the various embodiments of the present invention, the mechanical structure of the bicycle, the physiological measurement equipment, and the display equipment used therein can be achieved by using existing technologies, so details will not be described here. In addition, the drawings below are not completely drawn according to the actual relevant dimensions, and their function is only to express the schematic diagrams related to the features of the embodiments.

FIG. 1 is a schematic diagram illustrating the appearance of a smart bicycle 100 according to an embodiment of the present invention. The smart bicycle 100 includes a guiding unit 110 and a pedaling mechanism 120 . The stepping mechanism 120 provides users with stepping activities. The guide unit 110 can guide the user to perform the stepping activity, and prompt the user the current resistance of the stepping activity. According to the design requirements of the actual product, the guidance unit 110 may include an indicator light, a light-emitting diode (light-emitting diode, LED) display device, a liquid crystal display (liquid crystal display, LCD) panel, a touch display panel, a sound/voice indicating device, Vibration indicating device, Braille indicating device and/or other indicating (displaying) means. It should be noted that the implementation of the smart bicycle 100 in this embodiment should not be limited to the appearance design and mechanical structure shown in FIG. 1 . For example, in other embodiments, the smart bicycle 100 can also be implemented as a bicycle that can walk on roads.

FIG. 2 is a functional block diagram illustrating a smart bicycle 100 according to an embodiment of the present invention. Please refer to FIG. 2 , the smart bicycle 100 further includes a resistance unit 130 , a physiological measurement unit 140 , a processing unit 150 and a database 160 . The resistance unit 130 is connected to the pedaling mechanism 120 to provide and determine the resistance of the pedaling activity. The resistance unit 130 is coupled to the processing unit 150 . The resistance unit 130 can measure mechanical signals of the pedaling mechanism 120 , such as rotational speed (in RPM, revolutions-per-minute), motor resistance device, torque sensing value and the like. The resistance unit 130 converts the mechanical signal of the stepping mechanism 120 into a serial signal, and transmits the serial signal to the processing unit 150 . According to the control command of the processing unit 150 , the resistance unit 130 correspondingly determines/adjusts the resistance of the pedaling activity of the pedaling mechanism 120 .

According to the design requirements of the actual product, the resistance unit 130 can be implemented in any way to provide resistance to pedaling activities. For example, the resistance unit 130 may generate resistance to pedaling activities by mechanical means (such as friction, fluid resistance, damping, etc.), or electromagnetic means to generate resistance to pedaling activities. After the processing unit 150 reads the user's data (physiological signal and/or psychological signal) and calculates it, the processing unit 150 will send a resistance adjustment command (control command) to the resistance unit 130 according to the calculation result, so that the pedaling mechanism 120 can step on The resistance is further corrected to suit the user's pedaling resistance.

FIG. 3 is a schematic functional block diagram illustrating the resistance unit 130 according to an embodiment of the present invention. The resistance unit 130 includes a control unit 131 , a motor driving circuit 132 , a resistance magnetic control motor 133 and a motor resistance position unit 134 . The control unit 131 receives resistance commands from the processing unit 150 . After receiving the command from the processing unit 150, the control unit 131 converts the command from the processing unit 150 into a resistance command (for example: forward rotation, reverse rotation, stop). The motor driving circuit 132 is coupled to the control unit 131 . After receiving the resistance command from the control unit 131 , the motor driving circuit 132 converts the resistance command from the control unit 131 into a motor driving signal and drives the resistance magnetic control motor 133 to rotate. The resistive magnetron motor 133 is coupled to the motor driving circuit 132 . The resistance magnetic control motor 133 provides and determines the pedaling resistance of the pedaling mechanism 120 according to the motor driving signal.

The motor resistance position unit 134 is coupled between the resistance magnetic control motor 133 and the control unit 131 . Through the driving rotation of the resistance magnetic control motor 133 , the motor resistance position unit 134 generates the current resistance position of the motor, and then feeds back the resistance position to the control unit 131 . Therefore, the control unit 131 can inform the processing unit 150 of the current resistance of the pedaling activity. The control unit 131 judges/compares whether the current resistance position (level) is the resistance position (level) specified by the processing unit 150, and corrects in real time according to the judgment result. The above-mentioned control unit 131 needs to be calibrated because the magnetic control motor 133 will affect the change of damping due to long-term use, so that the resistance position will not be equal to the set value, so the error needs to be corrected at any time. For example: the motor resistance position unit 134 reports that the current resistance position (level) is 9, then the control unit 131 automatically issues a "forward rotation" command, and does not issue a "stop" command until the current resistance position (level) is 10.

For example, assume that the resistance adjustment command initially issued by the processing unit 150 indicates that the resistance level is 10. The control unit 131 determines whether the current resistance position (level) reported by the motor resistance position unit 134 is 10 or not. When the current resistance position is 15, the control unit 131 automatically issues a "reverse" command until the current resistance position (level) reported by the motor resistance position unit 134 is 10, and the control unit 131 issues a "stop" command. If the resistance adjustment command issued by the processing unit 150 indicates that the resistance level (level) is 20, and the control unit 131 judges that the current resistance position (level) reported by the motor resistance position unit 134 is 10, then the control unit 131 automatically issues "forward rotation". " command, until the current resistance position (level) reported by the motor resistance position unit 134 is 20, the control unit 131 just issues a "stop" command.

Referring to FIG. 2 , the physiological measurement unit 140 is coupled to the processing unit 150 . The physiological measurement unit 140 may measure physiological characteristics of the user. Physiological measurement unit 140 may be implemented in any manner. For example, the physiological measurement unit 140 may include a heart rate measurement device (or an electrocardiographic sensor), and the electrocardiographic sensor may sense the user's heart rate as the physiological characteristic. In addition, the physiological measurement unit 140 can be configured on the user's body through wearing, sticking or other mechanisms, so as to measure the user's physiological characteristics. In some other embodiments, the physiological measurement unit 140 can be fixedly arranged on the handle, the seat cushion and/or the seat back of the smart bicycle 100 so as to measure the physiological characteristics of the user. In other embodiments, the physiological measurement unit 140 may measure the physiological characteristics of the user or through other mechanisms such as non-contact physiological sensing devices.

The physiological measurement unit 140 can send the measurement results back to the processing unit 150 in a wired or wireless manner. For example, the physiological measurement unit 140 can obtain the user's heart rate by sensing ECG, heart pulsation, blood flow, or using infrared (Infrared Ray, IR), ultra-wideband (UWB, Ultra Wide Band) sensing, etc. The measurement results are transmitted to the processing unit 150 through wireless transmission methods such as Bluetooth or a wireless network, and the present invention is not limited thereto. In an embodiment of the present invention, the physiological measurement unit 140 may also transmit the measurement results to the processing unit 150 through wired transmission methods such as twisted pair cable, coaxial cable or optical fiber.

The database 160 is coupled to the processing unit 150 . The database 160 stores basic data and historical data of users. The data stored in the database 160 may include the user's gender, age, preferences, facial features, last use history and/or other data. Through data storage, the database 160 can help the user to set exercise information more quickly in the next use.

The processing unit 150 includes a data acquisition and control module 151 and an interactive feedback module 152 . The data acquisition and control module 151 receives and converts the serial signal of the resistance unit 130 and the physiological signal of the physiological measurement unit 140 . The interactive feedback module 152 receives the stream signal and the physiological signal from the data acquisition and control module 151, and generates a control command signal. The interactive feedback module 152 includes a logical calculation analysis unit 153 , a feedback control unit 154 , an interface output unit 155 and a data acquisition unit 156 . The logic calculation analysis unit 153 calculates the stream signal and the physiological signal. The feedback control unit 154 converts the calculated stream signal and physiological signal into a feedback control command. The interface output unit 155 outputs personalized interaction result information. The data retrieval unit 156 retrieves the data in the database 160 to the logic calculation analysis unit 153 and stores the data in the database 160 . Wherein, the feedback control command converted by the interactive feedback module 152 will be converted into a resistance control command by the data acquisition and control module 151 to the resistance unit 130 .

FIG. 4 is a schematic flowchart illustrating an operation method of a smart bicycle according to an embodiment of the present invention. Referring to FIG. 2 and FIG. 4 , in step S410 , the user starts to use the smart bicycle 100 . Executing the test mode (step S420 ) can understand the physical load and exercise feeling that the user can bear under various relative resistance intensities. The total exercise time in the test mode can be set to 10 minutes, and the total exercise time can also be adjusted by the user. In the test mode (step S420), the processing unit 150 can guide the user through the guidance unit 110 (for example, with sound, light, rhythm, display screen auxiliary guidance) to maintain the speed of the smart bicycle 100 at a certain test speed, and process The unit 150 controls the resistance unit 130 to adjust the resistance of the pedaling activity to a plurality of pedaling resistances. For example, in the test mode, the resistance unit 130 changes the resistance of the pedaling activity every sub-test time (for example, 1 minute). The way of changing the stepping resistance can be changed sequentially from small to large, for example, in the order of resistance positions (levels) 1, 2, 3, . . . , 10. If percentage is used as the unit of the resistance level, the way of changing the pedaling resistance may be, for example, sequentially changing in the order of resistance level 5%, 15%, 25%, . . . , 95%. The processing unit 150 measures the user's physiological characteristics (such as heart rate) through the physiological measurement unit 140 during these sub-test times, so as to obtain physiological values corresponding to different pedaling resistances in these sub-test times. In addition, during each sub-test period, the processing unit 150 can ask the user's current exercise experience through the touch display panel of the guidance unit 110 to obtain the user's physical and mental performance. The processing unit 150 respectively calculates these physiological values to obtain exercise intensities respectively corresponding to these pedaling resistances, and then obtains a corresponding relationship between these exercise intensities and these pedaling resistances (hereinafter referred to as the first corresponding relationship). The processing unit 150 may store the basic data of the user and the first correspondence in the database 160 .

During the test mode, when the user feels unable to complete the exercise test, the user can notify the processing unit 150 to end the test mode through a default mechanism (such as a button, voice, gesture or other mechanism). During the test mode, the processing unit 150 can prompt the user through the guidance unit 110 to keep the rotation speed around a certain pre-selected rotation speed value (for example, 50RPM). When the rotation speed of the pedaling activity is higher than the preselected rotation speed value, the processing unit 150 may warn the user through the guidance unit 110 . If the speed of the pedaling activity is lower than the pre-selected speed value and lasts for a period of time (for example, half a minute), it means that the user's physical strength is no longer able to bear the load, so the processing unit 150 should directly end the test mode process. If the user's heart rate changes too much, the processing unit 150 also displays a warning message through the guidance unit 110 . Considering the user's safety, during the test in the test mode, if the user's heartbeat value exceeds the safety warning value, the processing unit 150 can immediately send a warning message through the guidance unit 110, asking the user to ride slowly for a period of time, such as 1 minute (this When the pedaling resistance is automatically adjusted to a lower resistance, such as 5%), the user is then asked to come down and rest. The aforementioned safety alert value can be determined according to medical needs, for example, the aforementioned safety alert value is set to 85% of the personal maximum heartbeat value (ie, 220-age).

FIG. 5 is a schematic flowchart illustrating the test mode (step S420 ) shown in FIG. 4 according to an embodiment of the present invention. Referring to FIG. 2 and FIG. 5 , in step S421 , the processing unit 150 measures the user's resting heart rate RHR through the physiological measurement unit 140 . The processing unit 150 stores the user's resting heart rate RHR in the database 160 . Specifically, before the user performs the test mode (step S420), the processing unit 150 senses the user's heart rate through the physiological measurement unit 140, and uses the sensed data as the user's resting heart rate RHR.

Next, the processing unit 150 selects a pedaling resistance from a plurality of pedaling resistances to perform a first-stage pedaling test (step S422 ). For example, the processing unit 150 selects a minimum pedaling resistance of 5% from resistance levels of 5%, 15%, 25%, . . . , 95% to set the pedaling resistance of the resistance unit 130 . After the processing unit 150 sets the pedaling resistance of the resistance unit 130 to 5%, the processing unit 150 proceeds to step S423 to allow the user to perform the pedaling activity for a certain test period (for example, 1 minute). The processing unit 150 may sense the user's average heart rate AHR during this subtest period through the physiological measurement unit 140 . So far, the user has completed the first stage of pedaling test.

After step S423 is completed, the processing unit 150 proceeds to step S424 to calculate the average heart rate AHR to obtain the exercise intensity ES. For example, in this exemplary embodiment, the processing unit 150 calculates the user's estimated maximum heart rate MHR and exercise intensity ES according to equations (1)-(2):

MHR＝220-Age Equation (1)

ES=(AHR-RHR)/(MHR-RHR) Equation (2)

The processing unit 150 can obtain the age of the user from the database 160, and then use the equation (1) to calculate the estimated maximum heart rate MHR. After obtaining the maximum heart rate MHR, the processing unit 150 can calculate the user's exercise intensity ES by using equation (2). Then, the processing unit 150 may record the corresponding relationship between the pedaling resistance 5% and the exercise intensity ES in the database 160 .

In step S424, the processing unit 150 may also inquire the user's rate of perceived exertion (RPE, referred to as perceptual experience) through the instruction unit 110 to obtain a plurality of psychological values RPE respectively corresponding to the pedaling resistances. For example, FIG. 6 is a schematic diagram illustrating a screen where the instruction unit 110 asks the user's self-conscious feeling according to an embodiment of the present invention. The touch display panel of the indication unit 110 displays a plurality of feeling words and a plurality of psychological values RPE (as shown in FIG. 6 ). These feeling words have correspondences with different psychological values RPE. The pointing unit 110 may receive a user's touch selection. For example, through the screen shown in FIG. 6 , the user can select the psychological value RPE through the touch display panel of the pointing unit 110 . The processing unit 150 generates a corresponding psychological value RPE according to the user's touch selection. That is to say, the processing unit 150 may measure the physiological value and the psychological value in step S424. The processing unit 150 may store the corresponding relationship (hereinafter referred to as the second corresponding relationship) between the user's psychological value RPE and the physiological value (for example, AHR average heart rate) in the database 160 . The second corresponding relationship stored in the database 160 can be used in application scenarios that do not use the physiological measurement unit 140 (such as the embodiments shown in FIG. 13 to FIG. 15 , which will be described in detail later).

After step S424 is completed, the processing unit 150 proceeds to step S425 to determine whether there is any unselected pedaling resistance. For example, the processing unit 150 has used a resistance level of 5% in the aforementioned first-stage pedaling test, but resistance levels of 15%, 25%, . . . , 95% have not been selected for use. Therefore, the processing unit 150 proceeds to step S426 to select the next stepping resistance. For example, the processing unit 150 selects the minimum pedaling resistance of 15% from the resistance levels of 15%, 25%, . . . , 95% to set the pedaling resistance of the resistance unit 130 .

After the processing unit 150 sets the pedaling resistance of the resistance unit 130 to 15%, the processing unit 150 proceeds to step S423 , step S424 and step S425 during the second test period. So far, the user has completed the second stage of pedaling test. and so on.

When the processing unit 150 judges that the unselected pedaling resistance no longer exists, or when the user's heart rate exceeds the safety warning value, or when the user's exercise intensity ES exceeds the safe value (for example, 95%), the processing The unit 150 proceeds to step S427 to determine a suggested pedaling resistance.

FIG. 7 is a schematic diagram illustrating a relationship curve between heart rate and exercise intensity ES according to an embodiment of the present invention. In FIG. 7, the horizontal axis represents the exercise intensity ES, and the vertical axis represents the average heart rate AHR. After performing the test mode (step S420), the regression curve shown in FIG. 7 can be obtained.

The processing unit 150 can display the test result of the test mode through the indication unit 110 . For example, FIG. 8 is a schematic diagram illustrating the display of test results by the indicating unit 110 according to an embodiment of the present invention. Through the screen shown in Figure 8, the user can understand the personal condition and physical fitness during the exercise, and understand the pedaling resistance (the first column of Figure 8) and the exercise intensity ES (the second column of Figure 8) of each test time in the test mode. ), average heart rate AHR (column 3 in FIG. 8 ), rotational speed (column 4 in FIG. 8 ), and psychological value RPE (column 5 in FIG. 8 ).

In this embodiment, the exercise intensity ES in the range of 25% to 50% can be defined as mild, the exercise intensity ES in the range of 50% to 75% can be defined as moderate, and the exercise intensity ES in the range of 75% to 100% can be defined as mild. Exercise intensity ES in the % range can be defined as severe. Taking the test results shown in FIG. 8 as an example, the exercise intensity ES of the user falling into the middle range of 50% to 75% is 64, and the corresponding pedaling resistance is 35%. Therefore, in this embodiment, the processing unit 150 may select a pedaling resistance of 35% as the suggested pedaling resistance in step S427 of FIG. 5 .

Referring to FIG. 4 , after the testing mode (step S420 ), the processing unit 150 proceeds to step S430 to provide the user with the recommended pedaling resistance determined in step S420 . The method of providing the suggested pedaling resistance in step S430 may be that the processing unit 150 displays the suggested pedaling resistance through the guidance unit 110 for the user to select and use. In another embodiment, the processing unit 150 directly controls the resistance unit to adjust the resistance of the pedaling activity to the suggested pedaling resistance in step S430 , so as to provide the user with the pedaling activity.

Step S430 may further provide exercise modes for the user to select and use. According to the exercise test result in step S420 and the user's exercise goal setting, step S420 can provide a fully customized personal exercise mode menu. The menu provides a variety of exercise modes (exercise modes with different resistance or duration), such as elementary, intermediate, and advanced. The exercise goal setting function can set personal goals such as how many kilograms to lose within a certain period of time.

Step S430 can further provide exercise suggestions to the user. According to the exercise mode selected by the user, the processing unit 150 automatically gives suitable exercise suggestions based on the exercise test results in step S420, for example, preset warm-up exercise and cool-down exercise for 5 minutes each, and the exercise intensity ES of the main exercise is 50%. The main exercise is mainly in the continuous mode, and the main exercise time is 20 minutes for the elementary level, 30 minutes for the intermediate level, and 40 minutes for the advanced level. The user can adjust the time of each stage (warm-up exercise, main exercise, cool-down exercise). If the user does not have any exercise test records in the database 160, the processing unit 150 loads personalized or normative exercise suggestions based on the user's basic data.

After the step S430 ends, the processing unit 150 performs the exercise mode (step S440 ), so as to provide the user with the recommended pedaling resistance to perform the pedaling activity. The exercise mode can perform real-time exercise physiological measurement and exercise feeling evaluation according to the user's personalized exercise pattern. Step S440 not only ensures the safety of the user's exercise, but also feedbacks the evaluation result in real time. Step S440 can also dynamically adjust the exercise intensity, guidance situation and music. In some embodiments, step S440 may perform "exercise training". In other embodiments, step S440 may perform "three-stage movement". "Three-stage exercise" is divided into front rest measurement, warm-up exercise, main exercise, cool down exercise, and back rest measurement. "Sports training" is divided into warm-up exercises, main exercises, and cool-down exercises.

FIG. 9 is a schematic flowchart illustrating the exercise mode (step S440 ) shown in FIG. 4 according to an embodiment of the present invention. In the pre-exercise stage of the three-stage exercise, the processing unit 150 will perform step S441 first, so as to perform the pre-exercise rest measurement through the physiological measurement unit 140 , that is, measure the user's pre-exercise physiological value. In step S441, the processing unit 150 displays prompt information, a timer, and a heartbeat graph through the instruction unit 110 to guide the user to measure physiological characteristics (such as heartbeat rate) before exercising. In another embodiment, the processing unit inquires the user's pre-exercise psychological value through the guidance unit 110 in step S441.

After completing step S441, the processing unit 150 guides the user to perform warm-up exercises through the instruction unit 110 (step S442). The processing unit 150 monitors the user's physiological characteristics through the physiological measurement unit 140, and displays information such as target heartbeat, real-time heartbeat, calories, rotational speed (RPM), exercise intensity ES, and exercise experience RPE through the indicator unit 110 in real time.

After completing step S442, the processing unit 150 guides the user to perform the main movement through the instruction unit 110 (step S443). During this period, the processing unit 150 also monitors the user's physiological characteristics through the physiological measurement unit 140, and displays the target heartbeat, real-time heartbeat, calories, rotational speed (RPM), exercise intensity ES, and exercise perception (RPE) in real time through the indicator unit 110. and other information. The processing unit 150 can dynamically adjust the number of resistance segments of the stepping activity according to the user's heart rate or the perceived exercise experience (ie, RPE). In addition, the processing unit 150 compares the difference between the user's real-time heartbeat and the target heartbeat at intervals (for example, every minute). If the difference exceeds a set range (for example, 5), the processing unit 150 automatically reduces the number of resistance stages of the pedaling activity. On the contrary, if the difference is lower than the set range, the processing unit 150 automatically increases the number of resistance stages of the pedaling activity.

After step S443 is completed, the processing unit 150 guides the user to perform relaxation exercises through the instruction unit 110 (step S444 ). During this period, the processing unit 150 also monitors the user's physiological characteristics through the physiological measurement unit 140, and displays the target heartbeat, real-time heartbeat, calories, rotational speed (RPM), exercise intensity ES, and exercise perception (RPE) in real time through the indicator unit 110. and other information. During the warm-up exercise, the main exercise and the cool-down exercise, the processing unit 150 can display the situation scene and music through the indication unit 110 according to the intensity of the exercise.

In addition, at intervals, the processing unit 150 asks the user's self-conscious feeling through the instruction unit 110 (for example, as shown in FIG. 6 ). If the user does not set the self-conscious feeling within a few seconds (for example, 20 seconds), the processing unit 150 automatically skips it and displays the next screen. When there is no heart rate measuring device, the processing unit 150 can dynamically and automatically adjust the resistance of the stepping activity according to the user's self-conscious feeling. For example, the processing unit 150 can compare the target psychological value and the current psychological value RPE, and dynamically and automatically adjust the resistance of the stepping activity.

After step S444 is completed, the processing unit 150 guides the user to perform post-exercise rest measurement (step S445 ) through the instruction unit 110 , that is, to measure the user's post-exercise physiological value. In step S445, the processing unit 150 displays prompt information, a timer, and a heartbeat graph through the instruction unit 110, so as to guide the user to measure physiological characteristics (such as heartbeat rate) after exercising. In another embodiment, the processing unit inquires the user's post-exercise psychological value through the guidance unit 110 in step S445.

In summary, in the exercise mode (step S440), the processing unit 150 measures the physiological or psychological value of the user through the physiological measurement unit 140, and the processing unit 150 controls the resistance unit 130 to dynamically control the resistance unit 130 according to the physiological or psychological value of the exercise. Adjust the resistance of the pedaling activity. That is to say, the smart bicycle 100 of the present embodiment monitors the user's physiological characteristics (for example: heartbeat value) and/or psychological value (for example: self-conscious feeling) during exercise, and adjusts its physiological characteristics and/or psychological values in a timely manner. The feedback is fed back to the resistance unit 130 of the smart bicycle 100 to meet the user's usage status, thereby avoiding sports injuries.

FIG. 10 is a schematic flowchart illustrating an operation method of a smart bicycle according to another embodiment of the present invention. The implementation details of Step S1010, Step S1030, Step S1040, and Step S1050 shown in FIG. 10 can refer to the relevant descriptions of Step S410, Step S420, Step S430, and Step S440 shown in FIG. 4, so details are not repeated here. Before performing the test mode (step S1030), the processing unit 150 controls the resistance unit 130 to adjust the resistance of the pedaling activity to a specific pedaling resistance (such as low pedaling resistance or medium pedaling resistance, etc.) Or perform speed rhythm exercises for pedaling activities. The processing unit 150 monitors whether the rotation speed of the smart bicycle 100 meets the preset "practice rotation speed" in the practice mode, and the processing unit 150 guides the user through the guidance unit 110 (for example, with sound, light, rhythm, display screen auxiliary guidance) to turn the smart bicycle The rotation speed of the model bicycle 100 is maintained at the training rotation speed. The preset "practice rotation speed" may be any pre-selected rotation speed value (for example, 50RPM). In this embodiment, the preset "practice rotation speed" may be the same as the "test rotation speed" in the test mode (step S1030).

Step S1020 executes exercise exercises, which allow the user to first grasp the rhythm of the rotation speed and find out the suitable exercise feeling for them. The processing unit 150 provides low pedaling resistance by default in the practice mode (step S1020 ), and allows the user to select and set the "practice rotation speed" (for example, 40, 50, 60 RPM) for speed rhythm training. The smart bicycle 100 allows the user to select at least one specific pedaling resistance intensity (for example, 5% or 10%) to perform a speed rhythm exercise for a period of time (for example, three minutes). The user needs to keep the speed around the selected practice speed value in the practice mode. After the exercise mode ends, the processing unit 150 displays the coefficient of variation (CV), the average rotational speed (RPM), the average torque peak value (Nm) and/or the average work amount (Watt) through the guidance unit 110, and the CV value is as in the safe range ( For example, within 5%), the next stage can be entered after the rest (step S1030). The purpose of rest is to allow the user to return to the physiological state at rest, for example, to allow the user's heartbeat to be the same as the resting heartbeat. The rest time can be preset, such as 3 minutes, or determined by the user. If the CV value is higher than the safe range (for example, 5%), the user is asked to perform the exercise mode again (step S1020 ), until the user can grasp the exercise rhythm.

FIG. 11 is a schematic flowchart illustrating the test mode (step S1020 ) shown in FIG. 10 according to an embodiment of the present invention. In step S1021 , the processing unit 150 sets the resistance of the resistance unit 130 to a low pedaling resistance (eg, 5% or 10%). The processing unit 150 determines in step S1022 whether the current rotation speed of the bicycle 100 meets a preset "practice rotation speed" (for example, 40, 50 or 60 RPM). If the current rotation speed meets the "practice rotation speed", the processing unit 150 proceeds to step S1024. The so-called current rotational speed conforming to the "practice rotational speed" means that the difference between the current rotational speed and the "practice rotational speed" is within a preset range (for example, 5 RPM). If the current rotation speed does not meet the "practice rotation speed", the processing unit 150 proceeds to step S1024.

In step S1023 , the processing unit 150 guides the user through the guidance unit 110 (for example, with sound and light rhythm auxiliary guidance) to maintain the rotation speed of the smart bicycle 100 at the practice rotation speed. In step S1024, the processing unit 150 will determine whether the time of the test mode is over. If the time of the test mode is not over, the processing unit 150 proceeds to step S1022. If the time of the test mode is over, the processing unit 150 ends the test mode and enters the next stage after a break (step S1030 ).

FIG. 12 is a schematic flowchart illustrating an operation method of a smart bicycle 100 according to yet another embodiment of the present invention. The implementation details of step S1205, step S1235, step S1240, step S1245, and step S1250 shown in FIG. Please refer to Figure 2 and Figure 12. After the user starts to use the smart bicycle 100, in step S1210, the processing unit 150 can inquire/identify who the current user is through the guidance unit 110 (or sense/identify who the current user is through the physiological measurement unit 140) , so as to query the database 160 for relevant data (such as basic data, test data, etc.) of the user. For example, the processing unit 150 can ask the user's name and/or password through the guidance unit 110, so as to query whether there is relevant user data in the database 160, or the processing unit 150 can identify the user's face through the guidance unit 110, so as to query the database 160 Query whether there is relevant user data.

If the database 160 has the user's data, the processing unit 150 loads the user's data from the database 160 (step S1215). For example, the processing unit 150 can load the user's previously stored basic data (including nickname, age, birthday, gender and/or risk factors, etc.) from the database 160 . If the database 160 does not have the user's data, the processing unit 150 may create a new user data file in the database 160 to record the user's data (step S1220).

Next, the processing unit 150 proceeds to step S1225 to prompt the user to use the contact or non-contact physiological measurement unit 140 (such as a heart rate measurement device), such as prompting the user to wear the heart rate measurement device, or prompting the user to firmly grasp the handle configured on the bicycle handle. Physiological measurement unit 140 on. The processing unit 150 can monitor the state of the user's exercise through the physiological measurement unit 140 . The processing unit 150 may confirm the connection of the physiological measurement device in step S1225. It is explained here that in this embodiment, the user can choose whether to wear/use the above-mentioned physiological measurement unit 140 . The user may choose to skip step S1225 according to the actual situation. When there is no physiological measurement unit 140, the processing unit 150 can use the rate of perceived exercise (Rate of Perceived Exertion, RPE, referred to as conscious experience) as the basis for dynamic automatic adjustment, and its relevant implementation details can be deduced by referring to the relevant descriptions in Fig. 13 and Fig. 15 .

Next, the processing unit 150 proceeds to step S1230 to determine whether the user data file in the database 160 has a test record of the user. If there is already a test record of the user in the database 160, then skip to step S1245. If there is no test record for the user in the database 160 , then proceed to step S1235 and step S1240 to create a test record for the user and store the test record in the database 160 .

The implementation details of step S1235 , step S1240 , step S1245 , and step S1250 shown in FIG. 12 can be deduced by referring to the relevant descriptions in FIG. 4 and FIG. 10 . When the user chooses not to use the physiological measurement unit 140, or when there is no physiological measurement unit 140, the implementation details of step S1235, step S1240, step S1245, and step S1250 shown in FIG. be described in detail later).

By establishing a complete exercise phase (including exercise mode, test mode and exercise mode), the smart bicycle 100 can provide exercise training suitable for individual physical fitness. Among them, the practice mode allows users to master the rhythm of exercise during the pedaling process of different speeds and resistance intensities, and find out the feeling of exercise that suits them. Allowing the user to continue the test mode can reduce the deviation of the test results caused by the user's unfamiliarity with the stationary bicycle. The test mode allows the smart bicycle 100 to analyze the maximum physical load and/or the self-conscious feeling of the user during the pedaling process for different rotational speeds and/or different pedaling resistance strengths. Through the exercise test analysis results of the test mode, the smart bicycle 100 can provide the user with a customized personal exercise mode menu, so that the user can choose the exercise type.

During the whole exercise process, the smart bicycle 100 continuously performs exercise physiological measurement and/or exercise perception evaluation. Through the collection of physiological characteristics of the physiological measurement unit 140, or through the user's self-conscious feeling of exercise, the smart bicycle 100 can perform feedback control, in addition to ensuring the user's exercise safety, and feedback evaluation results in real time to dynamically adjust exercise intensity and guide the situation . Using the system to continuously collect/evaluate the user's dynamic physiological characteristics and/or self-conscious feeling data, the smart bicycle 100 can provide real-time feedback to adjust the guiding situation and pedaling resistance, so as to improve the safety and effectiveness of exercise.

FIG. 13 is a schematic flowchart illustrating an operation method of a smart bicycle according to a further embodiment of the present invention. The implementation details of Step S1310, Step S1320, Step S1330, and Step S1340 shown in Figure 13 can be deduced by referring to the relevant descriptions of Step S410, Step S420, Step S430, and Step S440 shown in Figure 4, so similar content will not be repeated. . Please refer to FIG. 2 and FIG. 13, after the user starts to use the smart bicycle 100 (step S1310), the processing unit 150 can execute the test mode (step S1320), so as to understand the user's tolerance under various relative strengths. Physical load and exercise sensation. In the test mode (step S1320 ), the processing unit 150 controls the resistance unit 130 to adjust the resistance of the pedaling activity to a plurality of pedaling resistances. On the other hand, the processing unit 150 inquires the user's self-conscious feeling through the guidance unit 110 in the test mode, so as to obtain different psychological values RPE respectively corresponding to the multiple pedaling resistances. For example, in the test mode, the resistance unit 130 sequentially changes the resistance of the stepping activity every sub-test time (for example, 1 minute). For example, the resistance unit 130 is switched sequentially in the order of resistance levels of 5%, 15%, 25%, . . . , 95%. At the end of each sub-test period, the processing unit 150 can inquire the user's current exercise experience through the touch display panel of the guidance unit 110 to obtain the user's psychological performance (psychological value RPE). The processing unit calculates these psychological values RPE respectively to obtain exercise intensities corresponding to different pedaling resistances, and then obtains a first correspondence between the exercise intensities and the pedaling resistances. The processing unit 150 may store the basic data of the user and the first correspondence in the database 160 .

FIG. 14 is a schematic flowchart illustrating the test mode (step S1320 ) shown in FIG. 13 according to an embodiment of the present invention. Please refer to FIG. 2 and FIG. 14 , in step S1321 , the processing unit 150 selects a pedaling resistance from a plurality of pedaling resistances to perform a first-stage pedaling test. For example, the processing unit 150 selects a minimum pedaling resistance of 5% from resistance levels of 5%, 15%, 25%, . . . , 95% to set the pedaling resistance of the resistance unit 130 . After the processing unit 150 sets the pedaling resistance of the resistance unit 130 to 5%, the processing unit 150 proceeds to step S1322 to allow the user to perform the pedaling activity for a subtest period (for example, 1 minute). At the end of the sub-test time, the user has completed the first stage of the pedaling test.

After step S1322 is completed, the processing unit 150 inquires the user's conscious feeling through the guidance unit 110 in step S1323 to obtain the psychological value RPE corresponding to the current pedaling resistance. The implementation manner of step S1323 may be implemented with reference to the relevant description in FIG. 6 or in other manners.

Here, it is assumed that the database 160 has a corresponding relationship (that is, a second corresponding relationship) between the user's psychological value RPE and a physiological value (such as the average heart rate AHR). The second corresponding relationship in the database 160 may be the history record when the same user used the smart bicycle 100 last time (refer to the related description of FIG. 4 ). In other embodiments, the second correspondence in the database 160 may be a general correspondence established according to medical research methods, so as to be applicable to different users. The processing unit 150 may convert the psychological value RPE into the average heart rate AHR according to the second corresponding relationship in the database 160 (step S1324).

After obtaining the average heart rate AHR, the processing unit 150 may proceed to step S1325 to calculate the average heart rate AHR to obtain the exercise intensity ES. For example, in this exemplary embodiment, the processing unit 150 calculates the user's estimated maximum heart rate MHR and exercise intensity ES according to the above equations (1)-(2). Then, the processing unit 150 may record the corresponding relationship (ie, the first corresponding relationship) between the current pedaling resistance (for example, 5%) and the exercise intensity ES in the database 160 .

After step S1325 is completed, the processing unit 150 proceeds to step S1326 to determine whether there is any unselected pedaling resistance. For example, the processing unit 150 has used a resistance level of 5% in the aforementioned first-stage pedaling test, but resistance levels of 15%, 25%, . . . , 95% have not been selected for use. Therefore, the processing unit 150 proceeds to step S1327 to select the next stepping resistance. For example, the processing unit 150 selects the minimum pedaling resistance of 15% from the resistance levels of 15%, 25%, . . . , 95% to set the pedaling resistance of the resistance unit 130 . After the processing unit 150 sets the pedaling resistance of the resistance unit 130 to 15%, the processing unit 150 performs step S1322, step S1323, step S1324, step S1325 and step S1326 during the second test period. So far, the user has completed the second stage of pedaling test. and so on.

When the processing unit 150 judges that the unselected pedaling resistance no longer exists, or when the user's heart rate exceeds the safety warning value, or when the user's exercise intensity ES exceeds the safe value (for example, 95%), the processing The unit 150 proceeds to step S1328 to determine a suggested pedaling resistance. The implementation details of step S1328 can refer to the relevant descriptions in FIG. 5 , FIG. 7 and FIG. 8 .

Referring to FIG. 13 , during the test mode (step S1320 ), when the user feels unable to complete the exercise test, the user can notify the processing unit 150 to end the test mode through a default mechanism (such as a button, voice, gesture or other mechanism). After the test mode ends, the processing unit 150 proceeds to step S1330, so as to provide the user with the recommended pedaling resistance determined in step S1320 to perform the pedaling activity. The method of providing the suggested pedaling resistance in step S1330 may be that the processing unit 150 displays the suggested pedaling resistance through the guidance unit 110 for the user to select and use. In another embodiment, the processing unit 150 directly controls the resistance unit to adjust the resistance of the pedaling activity to the suggested pedaling resistance in step S1330, so as to provide the user with the pedaling activity.

After the step S1330 ends, the processing unit 150 performs the exercise mode (step S1340 ), so as to provide the user with the suggested pedaling resistance to perform the pedaling activity. The exercise mode can perform real-time exercise evaluation based on the user's personalized exercise pattern. Step S1340 can also dynamically adjust the exercise intensity, guidance situation and music. The implementation details of step S1340 can be deduced by referring to the relevant descriptions in FIG. 4 and FIG. 9 .

FIG. 15 is a schematic flowchart illustrating an operation method of the smart bicycle 100 according to yet another embodiment of the present invention. The implementation details of step S1505, step S1510, step S1515, step S1520, step S1530, and step S1535 shown in FIG. So no more details. The difference from the embodiment shown in FIG. 12 is that step S1225 is omitted in the embodiment shown in FIG. 15 . That is to say, this embodiment assumes that the user chooses not to use the physiological measurement unit 140 . The implementation details of step S1540 , step S1545 , and step S1550 shown in FIG. 15 can refer to the relevant descriptions of step S1320 , step S1330 , and step S1340 shown in FIG. 13 , so details are not repeated here. In the exercise mode (step S1550 ), the processing unit 150 inquires the user's exercise psychological value RPE through the guidance unit 110 . According to the exercise psychological value, the processing unit 150 controls the resistance unit 130 to dynamically adjust the resistance of the stepping activity correspondingly. That is to say, the smart bicycle 100 of this embodiment monitors the user's psychological value RPE during exercise, and feeds back the psychological value RPE to the resistance unit 130 of the smart bicycle 100 in good time to meet the user's use state, and then Avoid sports injuries.

The specific embodiments described above have further described the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above descriptions are only specific embodiments of the present invention, and are not intended to limit the present invention. Within the spirit and principles of the present invention, any modifications, equivalent replacements, improvements, etc., shall be included in the protection scope of the present invention.

Claims (43)

1. A smart bicycle, comprising: a stepping mechanism for a user to perform a stepping activity; a resistance unit connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity; a physiological measurement unit; and a processing unit coupled to the resistance unit and the physiological measurement unit; Wherein in a test mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to a plurality of pedaling resistances, and the processing unit measures a physiological characteristic of the user through the physiological measurement unit to obtain corresponding Multiple physiological values for multiple pedaling resistances; The processing unit respectively calculates the multiple physiological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; Wherein after the measurement mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform the pedaling activity in an exercise mode; and Wherein, the processing unit calculates ES=(AHR-RHR)/(MHR-RHR), wherein ES is the exercise intensity of the user, AHR is the average heart rate of the user, and RHR is the resting heartbeat of the user rate, MHR is the estimated maximum heart rate of the user. 2. The smart bicycle as claimed in claim 1, wherein in the exercise mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to the suggested pedaling resistance, so as to provide the user with the pedaling activity. 3. The intelligent bicycle as claimed in claim 1, wherein the physiological measurement unit comprises: An ECG sensor senses the user's heart rate as the physiological characteristic. 4. The smart bicycle as claimed in claim 1, wherein the estimated maximum heart rate MHR=220-Age, and Age is the age of the user. 5. The smart bicycle as claimed in claim 1, wherein before performing the test mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to a specific pedaling resistance in an exercise mode, so as to provide the user with Do a rev rhythm exercise for this pedaling activity. 6. The intelligent bicycle as claimed in claim 5, further comprising: a guidance unit coupled to the processing unit; Wherein the processing unit monitors whether the rotation speed of the smart bicycle conforms to a training rotation speed in the exercise mode, and the processing unit guides the user to maintain the rotation speed of the smart bicycle at the training rotation speed through the guidance unit. 7. The intelligent bicycle as claimed in claim 1, further comprising: A guiding unit, coupled to the processing unit, reminds the user of the current resistance of the stepping activity and guides the user to perform the stepping activity. 8. The smart bicycle as claimed in claim 7, wherein the guidance unit comprises a touch display panel. 9. The intelligent bicycle as claimed in claim 1, further comprising: A database is coupled to the processing unit to store a basic data of the user and the first corresponding relationship. 10. The smart bicycle as claimed in claim 1, wherein the processing unit measures an exercise physiological value of the user through the physiological measurement unit in the exercise mode, and the processing unit controls the resistance unit according to the exercise physiological value Correspondingly dynamically adjust the resistance of the stepping activity. 11. A smart bicycle, comprising: a stepping mechanism for a user to perform a stepping activity; a resistance unit connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity; a physiological measurement unit; and a processing unit coupled to the resistance unit and the physiological measurement unit; Wherein in a test mode, the processing unit controls the resistance unit to adjust the resistance of the stepping activity to a plurality of stepping resistances, and the processing unit measures a physiological characteristic of the user through the physiological measurement unit to obtain corresponding values corresponding to the plurality of stepping resistances respectively. multiple physiological values of pedaling resistance; The processing unit respectively calculates the multiple physiological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; Wherein after the measurement mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform the pedaling activity in an exercise mode; and Wherein the resistance unit includes: a control unit receiving resistance commands from the processing unit; a motor drive circuit, coupled to the control unit, the motor drive circuit converts the resistance command of the control unit into a motor drive signal; a resistance magnetic control motor, coupled to the motor drive circuit, the resistance magnetic control motor provides and determines the resistance of the stepping mechanism according to the motor drive signal; and A motor resistance position unit is coupled between the resistance magnetic control motor and the control unit. The motor resistance position unit is driven and rotated by the resistance magnetic control motor to generate the current resistance position of the motor, and then feeds back to the control unit. 12. A smart bicycle, comprising: a stepping mechanism for a user to perform a stepping activity; a resistance unit connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity; a physiological measurement unit; and a processing unit coupled to the resistance unit and the physiological measurement unit; Wherein in a test mode, the processing unit controls the resistance unit to adjust the resistance of the stepping activity to a plurality of stepping resistances, and the processing unit measures a physiological characteristic of the user through the physiological measurement unit to obtain corresponding values corresponding to the plurality of stepping resistances respectively. multiple physiological values of pedaling resistance; The processing unit respectively calculates the multiple physiological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; Wherein after the measurement mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform the pedaling activity in an exercise mode; and Wherein, the exercise mode includes a front rest measurement, a warm-up exercise, a main exercise, a cool-down exercise and a back rest measurement, and the processing unit uses the physiological measurement unit to perform the front rest measurement and the back rest measurement respectively. A pre-exercise physiological value and a post-exercise physiological value of the user are measured. 13. A method for operating a smart bicycle, comprising: A stepping mechanism provides a user with a stepping activity; In a measuring mode, a processing unit adjusts the resistance of the pedaling activity to a plurality of pedaling resistances; In the measurement mode, measure a physiological characteristic of the user to obtain a plurality of physiological values respectively corresponding to the plurality of pedaling resistances; The processing unit calculates the multiple physiological values respectively to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; After the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship; and In an exercise mode, providing the user with the suggested pedaling resistance to perform the pedaling activity; Wherein, the step of calculating the physiological value to obtain the exercise intensity comprises: ES=(AHR-RHR)/(MHR-RHR) is calculated by the processing unit, wherein ES is the exercise intensity of the user, AHR is the average heart rate of the user, and RHR is the resting heart rate of the user , MHR is the estimated maximum heart rate of the user. 14. The operating method of a smart bicycle as claimed in claim 13, further comprising: In the exercise mode, the processing unit adjusts the resistance of the pedaling activity to the suggested pedaling resistance, so as to provide the user with the pedaling activity. 15. The operation method of an intelligent bicycle as claimed in claim 13, wherein said step of measuring a physiological characteristic of the user comprises: The user's heart rate is sensed as the physiological characteristic. 16. The operation method of the smart bicycle as claimed in claim 13, wherein the estimated maximum heart rate MHR=220-Age, and Age is the age of the user. 17. The operation method of the intelligent bicycle as claimed in claim 13, further comprising: Before performing the test mode, the processing unit adjusts the resistance of the pedaling activity to a specific pedaling resistance in a training mode, so as to provide the user with speed rhythm practice for the pedaling activity. 18. The operation method of the intelligent bicycle as claimed in claim 17, further comprising: monitoring by the processing unit in the practice mode whether the rotation speed of the smart bike complies with a practice rotation speed; and A guiding unit guides the user to maintain the rotation speed of the smart bicycle at the practice rotation speed. 19. The operating method of a smart bicycle as claimed in claim 13, further comprising: Remind the user of the current resistance of the pedaling activity; and Guide the user to perform the stepping activity. 20. The operating method of a smart bicycle as claimed in claim 13, further comprising: provide a database; and A basic data of the user and the first corresponding relationship are stored in the database. 21. The operating method of a smart bicycle as claimed in claim 13, further comprising: In the exercise mode, measuring an exercise physiological value of the user; and According to the exercise physiological value, the processing unit dynamically adjusts the resistance of the stepping activity correspondingly. 22. A method for operating a smart bicycle, comprising: A stepping mechanism provides a user with a stepping activity; In a measuring mode, a processing unit adjusts the resistance of the pedaling activity to a plurality of pedaling resistances; In the measurement mode, measure a physiological characteristic of the user to obtain a plurality of physiological values respectively corresponding to the plurality of pedaling resistances; The processing unit calculates the multiple physiological values respectively to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; After the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship; and In an exercise mode, providing the user with the suggested pedaling resistance to perform the pedaling activity; Wherein the exercise mode includes a pre-rest measurement, a warm-up exercise, a main exercise, a relaxation exercise and a post-rest measurement, and the operation method also includes; A pre-exercise physiological value and a post-exercise physiological value of the user are respectively measured in the front rest measurement and the back rest measurement. 23. A smart bicycle, comprising: a stepping mechanism for a user to perform a stepping activity; a resistance unit connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity; a guidance unit; a processing unit coupled to the resistance unit and the guide unit; and a database coupled to the processing unit; Wherein in a measurement mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to a plurality of pedaling resistances, and the processing unit inquires a self-conscious feeling of the user through the guidance unit to obtain corresponding Multiple psychological values for multiple pedaling resistances; The processing unit respectively calculates the multiple psychological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; Wherein, after the measurement mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform the pedaling activity in an exercise mode; Wherein the database stores a second corresponding relationship between the user's psychological value and physiological value; Wherein the processing unit respectively converts the plurality of psychological values into a plurality of physiological values according to the second corresponding relationship; wherein the processing unit calculates the plurality of physiological values to obtain the exercise intensity; and Wherein the plurality of physiological values include a plurality of heartbeat rates; wherein the processing unit respectively converts the plurality of psychological values into a plurality of heartbeat rates according to the second corresponding relationship; and wherein the processing unit calculates ES=(AHR-RHR )/(MHR-RHR) to obtain the exercise intensity ES, wherein AHR is the user's average heart rate, RHR is the user's resting heart rate, and MHR is the user's estimated maximum heart rate. 24. The smart bicycle as claimed in claim 23, wherein in the exercise mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to the suggested pedaling resistance, so as to provide the user with the pedaling activity. 25. The intelligent bicycle as claimed in claim 23, wherein the guiding unit comprises: A touch display panel displays a plurality of feeling words and receives a touch selection of the user, wherein the processing unit generates psychological values according to the touch selection. 26. The intelligent bicycle as claimed in claim 23, wherein the estimated maximum heart rate MHR=220-Age, and Age is the age of the user. 27. The intelligent bicycle as claimed in claim 23, wherein before performing the test mode, the processing unit controls the resistance unit to adjust the resistance of the pedaling activity to a specific pedaling resistance in an exercise mode, so as to provide the user with Do a rev rhythm exercise for this pedaling activity. 28. The smart bike as claimed in claim 27, wherein the processing unit monitors whether the speed of the smart bike meets a training speed in the practice mode, and the processing unit guides the user to use the smart bike through the guidance unit. The speed of the bicycle is maintained at the training speed. 29. The smart bicycle as claimed in claim 23, wherein the guidance unit prompts the user of the current resistance of the pedaling activity and guides the user to perform the pedaling activity. 30. The intelligent bicycle of claim 23, further comprising: A database is coupled to the processing unit to store a basic data of the user and the first corresponding relationship. 31. The intelligent bicycle as claimed in claim 23, wherein the processing unit inquires a psychological exercise value of the user through the guidance unit in the exercise mode, and the processing unit controls the resistance unit corresponding to the psychological exercise value according to the exercise psychological value. Dynamically adjusts the resistance of this pedaling activity. 32. A smart bicycle, comprising: a stepping mechanism for a user to perform a stepping activity; a resistance unit connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity; a guidance unit; and a processing unit coupled to the resistance unit and the guidance unit; Wherein in a measurement mode, the processing unit controls the resistance unit to adjust the resistance of the stepping activity to a plurality of stepping resistances, and the processing unit asks the user for a self-conscious feeling through the guidance unit to obtain the corresponding values respectively corresponding to the plurality of stepping resistances. Multiple psychological values for a pedaling resistance; The processing unit respectively calculates the multiple psychological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. one-to-one correspondence; and Wherein, after the measurement mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship, so as to provide the user with the suggested pedaling resistance to perform the pedaling activity in an exercise mode; Wherein the resistance unit includes: a control unit receiving resistance commands from the processing unit; a motor drive circuit, coupled to the control unit, the motor drive circuit converts the resistance command of the control unit into a motor drive signal; a resistance magnetic control motor, coupled to the motor drive circuit, the resistance magnetic control motor provides and determines the resistance of the stepping mechanism according to the motor drive signal; and A motor resistance position unit is coupled between the resistance magnetic control motor and the control unit. The motor resistance position unit is driven and rotated by the resistance magnetic control motor to generate the current resistance position of the motor, and then feeds back to the control unit. 33. A smart bicycle, comprising: a stepping mechanism for a user to perform a stepping activity; a resistance unit connected to the pedaling mechanism, wherein the resistance unit provides and determines the resistance of the pedaling activity; a guidance unit; and a processing unit coupled to the resistance unit and the guidance unit; Wherein in a measurement mode, the processing unit controls the resistance unit to adjust the resistance of the stepping activity to a plurality of stepping resistances, and the processing unit asks the user for a self-conscious feeling through the guidance unit to obtain the corresponding values respectively corresponding to the plurality of stepping resistances. Multiple psychological values for a pedaling resistance; The processing unit respectively calculates the multiple psychological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. one-to-one correspondence; and After the measurement mode ends, the processing unit determines a recommended pedaling resistance according to the first corresponding relationship, so as to provide the user with the recommended pedaling resistance to perform the pedaling activity in an exercise mode; wherein, the exercise mode includes A front rest measurement, a warm-up exercise, a main exercise, a cool-down exercise, and a back rest measurement, the processing unit asks the user for a measurement in the front rest measurement and the back rest measurement through the guidance unit A pre-exercise psychological value and a post-exercise psychological value. 34. A method of operating a smart bicycle, comprising: A stepping mechanism provides a user with a stepping activity; In a measuring mode, a processing unit adjusts the resistance of the pedaling activity to a plurality of pedaling resistances; In the testing mode, inquiring about a self-conscious feeling of the user to obtain a plurality of psychological values respectively corresponding to the plurality of pedaling resistances; The processing unit calculates the multiple psychological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; After the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship; In an exercise mode, providing the user with the suggested pedaling resistance to perform the pedaling activity; and providing a database, wherein the database stores a second corresponding relationship between the user's psychological value and physiological value; Wherein the step of calculating the psychological value to obtain the exercise intensity comprises: Converting the plurality of psychological values into a plurality of physiological values respectively by the processing unit according to the second corresponding relationship; and calculating the plurality of physiological values by the processing unit to obtain the exercise intensity; Wherein the plurality of physiological values include a plurality of heart rate, and the step of calculating the psychological value to obtain the exercise intensity includes: Converting the plurality of psychological values into a plurality of heartbeat rates respectively by the processing unit according to the second corresponding relationship; and ES=(AHR-RHR)/(MHR-RHR) is calculated by the processing unit, wherein ES is the exercise intensity of the user, AHR is the average heart rate of the user, and RHR is the resting heart rate of the user , MHR is the estimated maximum heart rate of the user. 35. The operating method of a smart bicycle as claimed in claim 34, further comprising: In the exercise mode, the processing unit adjusts the resistance of the pedaling activity to the suggested pedaling resistance, so as to provide the user with the pedaling activity. 36. The operation method of an intelligent bicycle as claimed in claim 34, wherein the step of asking the user about a self-conscious feeling comprises: displaying a plurality of feeling words on a touch display panel, and receiving a touch selection of the user; and A psychological value is generated by the processing unit according to the touch selection. 37. The intelligent bicycle operating method as claimed in claim 34, wherein the estimated maximum heart rate MHR=220-Age, and Age is the age of the user. 38. The operating method of a smart bicycle as claimed in claim 37, further comprising: Before performing the test mode, the processing unit adjusts the resistance of the pedaling activity to a specific pedaling resistance in a training mode, so as to provide the user with speed rhythm practice for the pedaling activity. 39. The operating method of a smart bicycle as claimed in claim 38, further comprising: monitoring by the processing unit in the practice mode whether the rotation speed of the smart bike complies with a practice rotation speed; and A guiding unit guides the user to maintain the rotation speed of the smart bicycle at the practice rotation speed. 40. The method of operating a smart bicycle as claimed in claim 34, further comprising: Remind the user of the current resistance of the pedaling activity; and Guide the user to perform the stepping activity. 41. The method of operating a smart bicycle as claimed in claim 34, further comprising: provide a database; and A basic data of the user and the first corresponding relationship are stored in the database. 42. The method of operating a smart bicycle as claimed in claim 34, further comprising: In the exercise mode, inquiring about a mental exercise value of the user; and According to the exercise psychological value, the processing unit dynamically adjusts the resistance of the stepping activity correspondingly. 43. A method of operating a smart bicycle, comprising: A stepping mechanism provides a user with a stepping activity; In a measuring mode, a processing unit adjusts the resistance of the pedaling activity to a plurality of pedaling resistances; In the testing mode, the user is asked about a self-conscious feeling to obtain a plurality of psychological values respectively corresponding to the plurality of pedaling resistances; The processing unit calculates the multiple psychological values to obtain multiple exercise intensities respectively corresponding to the multiple pedaling resistances, and then obtains a first value between the multiple exercise intensities and the multiple pedaling resistances. One-to-one correspondence; After the test mode ends, the processing unit determines a suggested pedaling resistance according to the first corresponding relationship; and In an exercise mode, providing the user with the suggested pedaling resistance to perform the pedaling activity; Wherein the exercise mode includes a pre-rest measurement, a warm-up exercise, a main exercise, a relaxation exercise and a post-rest measurement, and the operation method also includes; A pre-exercise psychological value and a post-exercise psychological value of the user are inquired in the front rest measurement and the rear rest measurement respectively.