TWI860839B - Method and system for exercise status assessment and non-transitory computer-readable medium - Google Patents

Abstract

An exercise status assessment method is applicable to exercise equipment and executed by at least one computing device. The method includes obtaining a change in wireless signal strength of a wireless signal device disposed on the exercise equipment; executing a judgement step of determining whether the change in wireless signal strength matches a predefined trajectory of signal strength; when the judgement result of the judgement step is positive, increasing the number of movements by one; when the judgement result of the judgement step is negative, maintaining the number of movements; and generating and outputting an exercise status message according to at least the number of movements.

Description

Sports state assessment method and system and non-transient computer-readable medium

The present invention relates to a method and system for evaluating a sports state and a non-transitory computer-readable medium for storing the method.

In order to track and monitor the state of exercise, traditional sports equipment usually has a built-in counter to record the number of movements. For example, a mechanical counter can be triggered by pressing a button, rotating a gear, or pulling a device to count, or an electronic counter can be processed by voltage changes, current changes, or signals generated by induction to count. In addition, the movement trajectory can also be obtained through the emission and reflection of laser light waves or ultrasound to achieve the function of movement counting.

Since the built-in counter cannot effectively locate each fixed point of the movement, the misjudgment rate is high, resulting in ineffective counting, and thus the inability to analyze and record the movement status through the number of movements. In addition, laser light waves or ultrasound waves are difficult to build and costly because they require a large number of blocking points to detect reflections.

In view of the above, the present invention provides a method and system for evaluating a sports state and a non-transitory computer-readable medium for storing the method.

According to an embodiment of the present invention, a sports state evaluation system comprises a first wireless signal device, at least one second wireless signal device and a computing device, wherein the computing device is connected to the at least one second wireless signal device. The first wireless signal device is used to be set on sports equipment. The at least one second wireless signal device is used to perform wireless communication with the first wireless signal device. The computing device is used to obtain the change of the wireless signal strength of the first wireless signal device through at least one second wireless signal device; execute a determination step of whether the change of the wireless signal strength matches a preset signal strength trajectory; when the determination result of the determination step is a match, the number of actions is increased once; when the determination result of the determination step is a mismatch, the number of actions is maintained; and at least a motion status message is generated and output according to the number of actions.

A motion status assessment method according to an embodiment of the present invention is applicable to sports equipment and is executed by at least one computing device, comprising: obtaining a wireless signal strength change of a wireless signal device installed on the sports equipment; executing a judgment step to determine whether the wireless signal strength change matches a preset signal strength trajectory; when the judgment result of the judgment step is a match, adding an action count once; when the judgment result of the judgment step is a mismatch, maintaining the action count; and generating and outputting a motion status message at least based on the action count.

According to an embodiment of the present invention, a non-transitory computer-readable medium includes at least one computer-executable program, and the at least one computer-executable program is executed by a processor to perform the above-mentioned motion state evaluation method.

Through the above structure, the motion state assessment method and system disclosed in this case and the non-transitory computer-readable medium storing the method can count the number of movements by judging whether the change in wireless signal strength matches the preset signal strength trajectory. In this way, there is no need to convert the actual distance of the motion trajectory, and the counting of the number of movements can be completed at a low cost and with high reliability.

The above description of the disclosed content and the following description of the implementation methods are used to demonstrate and explain the spirit and principle of the present invention, and provide a further explanation of the scope of the patent application of the present invention.

The following detailed description of the features and advantages of the present invention is provided in the implementation mode, and the content is sufficient to enable any person skilled in the relevant art to understand the technical content of the present invention and implement it accordingly. Moreover, according to the content disclosed in this specification, the scope of the patent application and the drawings, any person skilled in the relevant art can easily understand the relevant purposes and advantages of the present invention. The following embodiments are to further explain the viewpoints of the present invention in detail, but are not to limit the scope of the present invention by any viewpoint.

Please refer to FIG. 1, which is a functional block diagram of a sports state evaluation system according to an embodiment of the present invention. As shown in FIG. 1, the sports state evaluation system 1 is applicable to sports equipment 2, including a first wireless signal device 11, a second wireless signal device 12 and a computing device 13. The second wireless signal device 12 is wirelessly connected to the first wireless signal device 11 and the computing device 13. The sports equipment 2 is, for example, a dumbbell, a barbell, a multi-function machine, etc.

The first wireless signal device 11 is used to be set on the sports equipment 2. The second wireless signal device 12 is used to communicate wirelessly with the first wireless signal device 11. For example, the first wireless signal device 11 and the second wireless signal device 12 may include signal transceivers based on the same wireless communication technology, such as Bluetooth transceivers. In some embodiments, the wireless signal sent by the first wireless signal device 11 may carry characteristic information such as target type information and weight information of the sports equipment 2, wherein the target type information indicates the type of the sports equipment 2, such as dumbbell, barbell, multi-function machine, etc.

The computing device 13 is used to obtain the change of the wireless signal strength of the first wireless signal device 11 through the second wireless signal device 12, and to determine whether the change of the wireless signal strength matches the preset signal strength trajectory corresponding to the training action of the sports equipment 2, and to count the action accordingly, wherein the specific execution content will be described later. The computing device 13 can be a collection of a microcontroller or other processor and memory that can run a program. In one embodiment, the second wireless signal device 12 and the computing device 13 can be components included in personal devices such as mobile phones and tablet computers. In another embodiment, the second wireless signal device 12 and the computing device 13 can be two devices separately arranged. The computing device 13 can generate and output a motion status message at least according to the number of actions.

In addition, in the implementation mode where the wireless signal sent by the first wireless signal device 11 carries the target type information, the computing device 13 can obtain the wireless signal from the first wireless signal device 11 through the second wireless signal device 12 and extract the target type information therefrom. The computing device 13 can select a default signal strength trajectory from a plurality of candidate signal strength trajectories according to the target type information, wherein the plurality of candidate signal strength trajectories respectively correspond to a plurality of default type information, and the plurality of candidate signal strength trajectories, the plurality of default type information and their corresponding relationship can be pre-stored in the computing device 13 or pre-stored in a cloud database accessible by the computing device 13. In an implementation where the wireless signal sent by the first wireless signal device 11 carries weight information, the computing device 13 can obtain the wireless signal from the first wireless signal device 11 through the second wireless signal device 12, extract the weight information therefrom, and generate and output movement status information in addition to the number of movements based on the weight information.

Please refer to FIG. 2, which is a functional block diagram of a motion state evaluation system according to another embodiment of the present invention. As shown in FIG. 2, the motion state evaluation system 1' may include a first wireless signal device 11, two second wireless signal devices 12 and 16, a computing device 13, an identification element 14, an identification element detection device 15, and an image capture device 17, wherein the functions and connection relationships of the first wireless signal device 11, the second wireless signal device 12 and 16, and the computing device 13 are the same as the first wireless signal device 11, the second wireless signal device 12, and the computing device 13 of the motion state evaluation system 1 of FIG. 1, and are not described in detail here. The image capture device 17 is connected to the computing device 13 by wire or wireless means. It should be particularly noted that the identification element 14, the identification element detection device 15, the second wireless signal device 16 and the image capture device 17 shown in FIG. 2 are selectively provided elements.

The identification element 14 is used to be set on the sports equipment 2 and store the type information or/and weight information of the sports equipment 2, wherein the type information indicates the type of the sports equipment 2, such as dumb bell, bar bell, multi-function machine, etc. In one embodiment, the sports equipment 2 is a dumb bell, and the identification element 14 can be set on the body of the dumb bell and store the type information or/and weight information. In another embodiment, the sports equipment 2 is a bar bell, and the number of identification elements 14 can be multiple, respectively set on the bar and the bar plate, wherein the identification element 14 set on the bar can store the type information, and the identification element 14 set on the bar plate can store the weight information of the bar plate. In another embodiment, the sports equipment 2 is a multifunctional machine, and the number of identification elements 14 can be multiple, respectively disposed on the machine and the counterweight of the multifunctional machine, wherein the identification element 14 disposed on the machine can store type information, and the identification element 14 disposed on the counterweight can store weight information of the counterweight. For example, the identification element 14 can be a QR code (Quick Response Code, QR Code), a Near-field Communication (Near-field Communication, NFC) antenna, or a Radio-frequency Identification (Radio-frequency Identification, RFID) antenna.

The identification element detection device 15 is used to detect the identification element 14 to obtain the information it needs. For example, the identification element detection device 15 can be a scanning module corresponding to a QR code, an NFC sensing module corresponding to an NFC antenna, or an RFID sensing module. In one embodiment, the identification element detection device 15 can be a component included in a personal device such as a mobile phone or a tablet computer. In another embodiment, the identification element detection device 15 can be an independently set device.

In this embodiment, the calculation device 13 can refer to the wireless signal strength values obtained by the second wireless signal devices 12 and 16 from the first wireless signal device 11 to make a judgment during the process of counting the actions. The specific reference method will be described later. In addition, in addition to counting the actions, the computing device 13 can also be used to detect the identification element 14 through the identification element detection device 15 to obtain the target type information of the sports equipment 2, and select a default signal strength trajectory from a plurality of candidate signal strength trajectories based on the target type information, wherein the plurality of candidate signal strength trajectories respectively correspond to a plurality of default type information, and the plurality of candidate signal strength trajectories, the plurality of default type information and their corresponding relationships can be pre-stored in the computing device 13 or pre-stored in a cloud database accessible by the computing device 13. In the implementation mode where the identification element 14 stores weight information, the computing device 13 can detect the identification element 14 through the identification element detection device 15 to obtain the weight information of the sports equipment 2. In addition, in the implementation mode where the identification element 14 cannot be installed on the counterweight block, the computing device 13 can obtain an image of the sports equipment 2 through the image capture device 17, and obtain the weight information of the sports equipment 2 through image analysis, wherein the specific analysis method will be described later.

FIG. 2 exemplarily shows that there are two second wireless signal devices 12 and 16. However, in other embodiments, there may be more second wireless signal devices, and the computing device 13 may simultaneously refer to the wireless signal strength values obtained from more second wireless signal devices to determine the action count.

Please refer to FIG. 3, which is a flow chart of a motion state evaluation method according to an embodiment of the present invention. As shown in FIG. 3, the motion state evaluation method includes step S11: obtaining the change in the strength of a wireless signal of a wireless signal device installed on the sports equipment; step S12: determining whether the change in the strength of the wireless signal matches a preset signal strength trajectory; when the determination result of step S12 is "yes", executing step S13: adding the number of actions once; when the determination result of step S12 is "no", executing step S14: maintaining the number of actions; and step S15: generating and outputting a motion state message at least according to the number of actions. The motion state assessment method can be applied to the motion state assessment system 1 shown in FIG. 1 and the motion state assessment system 1' shown in FIG. 2. The motion state assessment method shown in FIG. 3 is explained below by exemplarily taking the motion state assessment system 1 shown in FIG. 1 as an example.

In step S11, the computing device 13 obtains the change in the strength of the wireless signal of the wireless signal device installed in the sports equipment 2. Specifically, the wireless signal device can be the first wireless signal device 11. Further, in one implementation, the second wireless signal device 12 can continuously output the wireless signal, the first wireless signal device 11 can receive the wireless signal output by the second wireless signal device 12 and sense the strength value of the wireless signal, and then transmit it to the computing device 13 through the second wireless signal device 12, and the computing device 13 can generate the change in the strength of the wireless signal accordingly. In another embodiment, the first wireless signal device 11 can continuously output a wireless signal, and the second wireless signal device 12 can receive the wireless signal output by the first wireless signal device 11 and sense the wireless signal strength value, and then transmit it to the computing device 13, and the computing device 13 can generate a wireless signal strength change accordingly. In addition, the wireless signal strength change can also be a change in the signal strength attenuation value, wherein the signal strength attenuation value is the difference between the wireless signal output strength value and the received signal strength value.

In step S12, the computing device 13 determines whether the wireless signal strength change matches the preset signal strength trajectory. Specifically, when the wireless signal strength change matches the preset signal strength trajectory, step S13 is executed, and when the wireless signal strength change does not match the preset signal strength trajectory, step S14 is executed.

In step S13, the calculation device 13 adds one action count. Specifically, the action count is the total number of times the sports equipment 2 is used.

In step S14, the computing device 13 maintains the action count. Specifically, when an action is not executed or the action is not completely executed, it will not be counted.

In step S15, the computing device 13 generates and outputs the motion state information at least according to the number of times of the action. Specifically, the computing device 13 can generate the motion state information at least by adding up the number of times the sports equipment 2 is used, and output it to provide the user with real-time confirmation of the motion state. For example, the computing device 13 can generate sound, light, image or other forms of motion state information, and output the motion state information through output elements such as speakers, lamps, displays, communication ports, etc., wherein the output element can be an element included in a personal device such as a tablet computer, or can be a device independently set from the computing device 13. It should also be noted that FIG. 3 only exemplarily illustrates the execution order of step S13 to step S15, and the execution order of step S13 to step S14 can also be executed in the opposite order or simultaneously, and step S15 can be executed when the user actively calls up information, or step S15 can be executed continuously when step S11 starts to execute, which is not limited in this case.

In another embodiment, the motion state assessment method may further include the step of generating time information in addition to the above steps S11 to S15: when the judgment result of step S12 is that the wireless signal strength change matches the preset signal strength trajectory, at least one extreme strength value of the wireless signal strength change is analyzed; and time information is generated according to the time difference between the start time point, the end time point and at least one time point corresponding to the at least one extreme strength value of the matching portion of the wireless signal strength change. The matching portion of the wireless signal strength change refers to the portion of the wireless signal strength change that matches the preset signal strength trajectory. For example, the at least one extreme strength value may refer to the strength value of a peak or a trough. In addition, step S15 generates the motion status information according to the time information in addition to the number of actions. The above steps can be performed by the computing device 13. Further, the computing device 13 can store one or more definitions of time intervals in advance, and the definitions are related to the start time point, the end time point and at least one time point corresponding to at least one limit strength value of the wireless signal strength change. The computing device 13 can generate the time information according to the definition of the time interval and the time difference between the above multiple times.

As mentioned above, the motion state evaluation system 1' of FIG. 2 can also execute the above steps S11 to S15 and/or the time information generation step. The general operation content is the same as the above and will not be repeated. In particular, the step S11 executed by the motion state evaluation system 1' may include the operation device 13 obtaining a plurality of first wireless signal strength values within a continuous time through the second wireless signal device 12; obtaining a plurality of second wireless signal strength values within a continuous time through the second wireless signal device 16; performing noise processing on the plurality of first wireless signal strength values and the plurality of second wireless signal strength values; and using the plurality of first wireless signal strength values after noise processing to generate the time information. The wireless signal strength value and the plurality of second wireless signal strength values are used to generate a wireless signal strength variation, wherein the noise processing may include: when a difference between a first variation rate of the plurality of first wireless signal strength values with respect to time and a second variation rate of the plurality of second wireless signal strength values with respect to time is greater than a preset threshold, removing one of the plurality of first wireless signal strength values and the plurality of second wireless signal strength values corresponding to the larger of the first variation rate and the second variation rate.

For example, please refer to Table 1 below. The times T0, T1, T2 and T3 can be a continuous period of time, and the preset threshold is, for example, 1.5 times the preset multiple as a division basis. At the time T1, the first change rate of the first wireless signal strength value with respect to time is 1.052, and the second change rate of the second wireless signal strength value with respect to time is 2.25. At this time, the difference between the first change rate and the second change rate is greater than the preset threshold. The computing device 13 can remove the second wireless signal strength value at the time T1, that is, remove the second wireless signal strength value -40, and use the first wireless signal strength value and the second wireless signal strength value after noise processing to generate wireless signal strength changes. Specifically, the removed second wireless signal strength value at time T1 can be replaced by the first wireless signal strength value at time T1 multiplied by the second wireless signal strength value at time T0 divided by the first wireless signal strength value at time T0, for example, -95 multiplied by -90 divided by -100, and the replaced second wireless signal strength value at time T1 is 85.5.

Table 1 T0 T1 T2 T3 First wireless signal strength value -100 -95 -100 -100 Second wireless signal strength value -90 -40 -90 -90

By using the wireless signal strength values obtained from the above two or more sets of positioning points, the motion status assessment system 1' can compare the wireless signal strength values obtained from different positioning points at the same moment, thereby reducing the factors of signal instability, improving the accuracy of counting the number of movements, and reducing the probability of misjudging the number of movements.

In another embodiment, in addition to steps S11 to S15, the motion state evaluation method may further include rotating the preset signal strength trajectory along a preset direction and continuing to execute step S12 when the judgment result of step S12 remains mismatched for a preset period of time. In this way, when the user uses the sports equipment 2, he or she is not limited to facing the second wireless signal device 12, and can use the sports equipment 2 in multiple directions, which makes the use conditions more relaxed.

Please refer to FIG. 3 and FIG. 4, wherein FIG. 4 is a flow chart of selecting a preset signal strength trajectory according to sports equipment type information of a sports state evaluation method according to an embodiment of the present invention. As shown in FIG. 4, in addition to steps S11 to S15 shown in FIG. 3, the sports state evaluation method may further include step S21: detecting an identification element provided on the sports equipment to obtain target type information of the sports equipment; and step S22: selecting a preset signal strength trajectory from a plurality of candidate signal strength trajectories according to the target type information. The following exemplarily uses the sports state evaluation system 1' shown in FIG. 2 to illustrate the selection of a preset signal strength trajectory according to sports equipment type information of the sports state evaluation method shown in FIG. 4.

In step S21 , the computing device 13 detects the identification element 14 disposed on the sports equipment 2 through the identification element detection device 15 to obtain target type information of the sports equipment 2 . Specifically, step S21 is that the user triggers the identification element device 15 to detect the identification element 14 to obtain the target type information of the sports equipment 2, and the identification element detection device 15 then transmits the detected target type information to the computing device 13, or the user triggers the application stored in the computing device 13, and the computing device 13 runs the application to activate the triggering identification element detection device 15 to detect the identification element 14 to obtain the target type information of the sports equipment 2, and then returns the detected target type information to the computing device 13.

In step S22, the computing device 13 selects a preset signal strength trajectory from a plurality of candidate signal strength trajectories according to the target type information. Specifically, the plurality of candidate signal strength trajectories correspond to a plurality of preset type information respectively. Further, the computing device 13 selects a preset signal strength trajectory to be used in the subsequent step according to the obtained target type information. In this way, there are preset signal strength trajectories corresponding to different sports equipment 2, which can be applied to a variety of different sports equipment 2 for counting movements.

In an embodiment in which the motion state assessment system includes an identification element 14 and an identification element detection device 15, in addition to steps S21 to S22 shown in FIG. 4 , the motion state assessment method may further include the computing device 13 detecting at least one identification element 14 disposed on the sports equipment 2 through the identification element detection device 15 to obtain weight information of the sports equipment 2, wherein the motion state information is further generated based on the weight information.

Please refer to FIG. 3 and FIG. 5, wherein FIG. 5 is a flow chart of the matching judgment step of the motion state evaluation method according to an embodiment of the present invention. As shown in FIG. 5, step S12 shown in FIG. 3 includes step S121: extracting a preset feature from the wireless signal strength change; step S122: selecting a starting strength value from a plurality of wireless signal strength values according to the preset feature; and step S123: comparing the wireless signal strength change from the starting strength value with the preset signal strength trajectory in the order of continuous time to see whether the similarity is greater than a preset threshold. In addition, when the judgment result of step S123 is "yes", step S13 of Figure 3 is executed; when the judgment result of step S123 is "no", step S14 of Figure 3 is executed. The following exemplarily uses the motion state evaluation system 1' shown in Figure 2 to illustrate the matching judgment step of the motion state evaluation method shown in Figure 5.

In step S121, the computing device 13 extracts a preset feature from the wireless signal strength change. Specifically, after obtaining the wireless signal strength change of the wireless signal device installed in the sports equipment 2, the computing device 13 extracts the preset feature from the wireless signal strength change. Furthermore, the preset feature can be a portion of the wireless signal strength change that is similar to the preset signal strength trajectory, for example, it can be three consecutive intervals where the signal strength changes significantly.

In step S122, the computing device 13 selects a starting strength value from a plurality of wireless signal strength values according to the preset feature. Specifically, the wireless signal strength value at a preset time before the preset feature appears is found from the plurality of wireless signal strength values, and the wireless signal strength value is used as the starting strength value.

In step S123, the computing device 13 compares the wireless signal strength change with the preset signal strength trajectory in the order of continuous time from the starting strength value to see if the similarity is greater than a preset threshold. Specifically, the computing device 13 compares the wireless signal strength value at each moment from the starting strength value to see if the difference between the wireless signal strength value at each moment and the preset signal strength trajectory corresponding to the wireless signal strength value at this moment is greater than a preset threshold.

To further illustrate step S12, please refer to FIG. 5 and FIG. 6, wherein FIG. 6 is a schematic diagram of wireless signal strength comparing wireless signal strength variation with a preset signal strength trajectory in a motion state evaluation method according to an embodiment of the present invention.

As shown in FIG6 , C1 may be a wireless signal strength variation curve, C2 may be a preset signal strength trajectory curve, and points D11, D12, and D13 of the wireless signal strength variation curve C1 may be preset features, similar to points D21, D22, and D23 of the preset signal strength trajectory curve C2. In an implementation of determining whether the wireless signal strength variation has multiple preset features included in the preset signal strength trajectory, the computing device 13 may determine that the wireless signal strength variation curve C1 has multiple preset feature points D11, D12, and D13 whose variation rates change from positive to negative or from negative to positive, and determine that the wireless signal strength variation matches the preset signal strength trajectory. In the implementation of the matching judgment step using the process shown in Figure 5, the computing device 13 can use the wireless signal strength value S1 of a preset time before the preset feature point D11 appears in the wireless signal strength variation curve C1, for example, 400 milliseconds (ms) ago as the starting strength value, and then compare the similarity between the wireless signal strength variation curve C1 and the preset signal strength trajectory curve C2 starting from the wireless signal strength value S1 in the order of continuous time.

In addition, as mentioned above, in one embodiment, when the judgment result of step S12 is that the wireless signal strength change matches the preset signal strength trajectory, the motion state evaluation method may further include the step of generating time information. For example, the calculation device 13 may pre-store the definition of the centripetal force time and the centrifugal force time, wherein the centripetal force time indicates the time difference between the start time point of the matching part of the wireless signal strength change and the time corresponding to the limit strength value, and the centrifugal force time indicates the time difference between the time corresponding to the limit strength value and the end time point of the matching part of the wireless signal strength change. In the example shown in FIG6 , the computing device 13 can determine the time difference t1 between the starting time point corresponding to the starting intensity value S1 of the wireless signal intensity variation curve C1 matching the preset signal intensity trajectory curve C2 and the time point corresponding to the limit intensity value (point D11) as the centripetal force time, and determine the time difference t2 between the ending time point corresponding to the ending intensity value E1 and the time point corresponding to the limit intensity value (point D13) as the centrifugal force time, and generate time information based on the time difference t1 and the time difference t2, for example, by outputting the time difference t1 and the time difference t2 through an output element.

The following will describe a specific implementation method in which the computing device 13 can obtain the image of the sports equipment 2 through the image capture device 17 and obtain the weight information of the sports equipment 2 through image analysis.

When the sports equipment 2 includes a main body and a counterweight, the sports state evaluation method may further include the computing device 13 acquiring an image of the sports equipment 2 through the image capture device 17; analyzing a reference pixel area corresponding to the main body in the image; acquiring multiple target pixel areas corresponding to the counterweight in the image based on the reference pixel area; and acquiring weight information of the counterweight based on at least the pixel areas of the multiple target pixel areas; wherein the sports state information is further generated based on the weight information.

Specifically, the image capture device 17 is, for example, a camera. The computing device 13 can identify the main body and the counterweight of the sports equipment 2 in the image, analyze the reference pixel area of the main body and the multiple target pixel areas of the counterweight, and obtain the weight information of the counterweight at least based on the pixel areas of the multiple target pixel areas. Furthermore, the computing device 13 can generate a motion state message based on the weight information. Therefore, the motion state message output by the computing device 13 can include weight information in addition to the number of movements.

Please refer to Figures 2, 7 and 8, wherein Figure 7 is a schematic diagram of obtaining weight information by using image recognition according to a method for evaluating movement status according to one embodiment of the present invention, and Figure 8 is a schematic diagram of obtaining weight information by using image recognition according to another embodiment of the present invention.

In one embodiment, the sports equipment 2 may include a main body L10 and counterweights L11 to L13 as shown in FIG. 7 . After the computing device 13 obtains the image I1 of the sports equipment 2 through the image capture device 17, it analyzes the reference pixel area P10 corresponding to the main body L10 in the image I1, and obtains multiple target pixel areas P11 to P13 corresponding to the counterweights L11 to L13 in the image I1 based on the reference pixel area. Then, the weight information of the counterweights L11 to L13 is obtained based on the pixel areas of the multiple target pixel areas P11 to P13, and the sports status information is generated based on the weight information. Specifically, the calculation device 13 obtains the weight information of the plurality of counterweights L11-L13, which may include determining that the pixel areas of the plurality of target pixel regions P11-P13 belong to the target ranges in the plurality of preset ranges; and obtaining the target weight corresponding to the target range from the plurality of preset weights, wherein the weight information includes the target weight. Further, the plurality of preset ranges are pixel area ranges corresponding to the reference pixel regions of the subject, and the calculation device 13 compares the pixel areas of the target pixel regions P11-P13 with the plurality of preset ranges to obtain which of the plurality of preset ranges the target range corresponding to the plurality of target pixel regions P11-P13 is, and the corresponding target weight may be obtained according to the target range.

In another embodiment, the sports equipment 2 may include a main body L20 and counterweights L21 to L25 as shown in FIG. 8 . After the computing device 13 obtains the image I2 of the sports equipment 2 through the image capture device 17, it analyzes the reference pixel area P20 corresponding to the main body L20 in the image I2, and obtains multiple target pixel areas P21 to P25 corresponding to the counterweights L21 to L25 in the image I2 based on the reference pixel area. Then, the weight information of the counterweights L21 to L25 is obtained through the pixel areas of the multiple target pixel areas P21 to P25, and the sports status information is generated based on the weight information. Specifically, the computing device 13 obtains the weight information of the plurality of counterweights L21-L25, which may include determining that the pixel areas of the plurality of target pixel regions P21-P25 belong to a target range among a plurality of preset ranges; determining that the colors of the plurality of target pixel regions P21-P25 belong to a target color among a plurality of preset colors; and obtaining a target weight corresponding to the target range and the target color from a plurality of preset weights; wherein the weight information includes the target weight. Further, after determining the target range to which the pixel areas of the plurality of target pixel regions P21-P25 belong, it is determined which of the plurality of preset colors the target color belongs to, and the corresponding target weight may be obtained according to the target range and the target color.

Furthermore, in the two embodiments of Figures 7 and 8 above, the multiple preset ranges can be a lookup table, with different target ranges corresponding to the area size of the benchmark pixel area of the subject L10 or L20. The lookup table can also include target weights corresponding to different target ranges, and the lookup table based on the subject L20 can further include target weights corresponding to different colors.

In another embodiment, please refer to FIG. 2 and FIG. 9, wherein FIG. 9 is a schematic diagram of obtaining weight information by using image recognition according to the motion state evaluation method described in the another embodiment. The sports equipment 2 may include a main body L30 and counterweight blocks L31-L33 as shown in FIG. 9, and the counterweight blocks L31-L33 are respectively provided with identification patterns P31-P33. The computing device 13 obtains the image I3 of the sports equipment 2 through the image capture device 17, and recognizes the weight information corresponding to the block corresponding to the identification patterns P31-P33 in the image I3 according to a plurality of pre-stored patterns, and then generates the motion state information according to the weight information. Specifically, the computing device 13 may store the correspondence between a plurality of pre-stored patterns and a plurality of weights. Taking FIG. 9 as an example, the computing device 13 can store the relationship between the triangular pattern and the first weight, the circular pattern and the second weight, and the diamond pattern and the third weight. The computing device 13 recognizes that the image I3 includes blocks corresponding to the triangular pattern, the circular pattern, and the diamond pattern, obtains the first weight, the second weight, and the third weight according to the above correspondence, and generates weight information accordingly. Further, the above correspondence is, for example, a lookup table. The example given in FIG. 9 corresponds to different weights with patterns of different shapes, but in other embodiments, patterns of different colors may be used to correspond to different weights, that is, the above multiple pre-stored patterns may be patterns with different colors, and the execution content of the computing device 13 is similar to the above and will not be repeated. It should also be specially pointed out that FIG. 9 exemplarily presents the weight information acquisition method of the present embodiment as applied to a sports equipment 2 having a main body L30 and a plurality of counterweights L31 to L33. However, the weight information acquisition method of the present embodiment is also applicable to dumbbells, multi-function machines or other sports equipment that can be provided with at least one identification pattern. The specific execution content is similar to that described above and will not be repeated here.

In addition, in some embodiments, the motion state evaluation method described in the above embodiments can be included in a non-transient computer-readable medium in the form of at least one computer-executable program, such as a non-transient computer-readable storage medium such as an optical disk, a flash drive, a memory card, a hard drive of a cloud server, etc. When the at least one computer-executable program is executed by a processor of a computer, the motion state evaluation method described in the above embodiments will be implemented.

Through the above structure, the motion state evaluation method and system disclosed in this case and the non-transitory computer-readable medium storing the method can count the number of movements by judging whether the change in wireless signal strength matches the preset signal strength trajectory. In this way, there is no need to convert the actual distance of the motion trajectory, and the counting of the number of movements can be completed at a low cost and with high reliability. In addition, by obtaining weight information through detection and identification elements and image recognition, the exercise status evaluation method and system disclosed in this case and the non-transitory computer-readable medium storing the method can generate exercise status information based on weight information. In addition to the number of movements, it can also provide the user with weight information of the movement, so as to provide the user with complete exercise information in terms of number and weight, and the user can use this information to monitor the exercise status.

Although the present invention is disclosed as above with the aforementioned embodiments, it is not intended to limit the present invention. Any changes and modifications made without departing from the spirit and scope of the present invention are within the scope of patent protection of the present invention. Please refer to the attached patent application for the scope of protection defined by the present invention.

1,1’: Sports status assessment system

2: Sports equipment

11: First wireless signal device

12,16: Second wireless signal device

13: Computing device

14: Identification Components

15: Identification Component Detection Device

17: Image capture device

S11,S12,S13,S14,S15,S21,S22,S121,S122,S123: Steps

C1,C2: Curve

D11,D12,D13,D21,D22,D23: points

t1,t2: time difference

S1, E1: Strength value

I1,I2,I3:Image

L10,L20,L30: Main body

L11,L12,L13,L21,L22,L23,L24,L25,L31,L32,L33: Counterweight

P10, P11, P12, P13, P20, P21, P22, P23, P24, P25: Pixel area

P31, P32, P33: Identification pattern

FIG. 1 is a functional block diagram of a motion state evaluation system according to an embodiment of the present invention. FIG. 2 is a functional block diagram of a motion state evaluation system according to another embodiment of the present invention. FIG. 3 is a flow chart of a motion state evaluation method according to an embodiment of the present invention. FIG. 4 is a flow chart of selecting a preset signal strength trajectory according to sports equipment type information in a motion state evaluation method according to an embodiment of the present invention. FIG. 5 is a flow chart of a matching judgment step in a motion state evaluation method according to an embodiment of the present invention. FIG. 6 is a schematic diagram of wireless signal strength in a motion state evaluation method according to an embodiment of the present invention for comparing wireless signal strength changes with preset signal strength trajectories. FIG. 7 is a schematic diagram of obtaining weight information by using image recognition according to a method for evaluating movement status according to an embodiment of the present invention. FIG. 8 is a schematic diagram of obtaining weight information by using image recognition according to another embodiment of the present invention. FIG. 9 is a schematic diagram of obtaining weight information by using image recognition according to another embodiment of the present invention.

S11, S12, S13, S14, S15: Steps

Claims (22)

A method for evaluating a sports state, applicable to a sports equipment and executed by at least one computing device, comprises: obtaining a change in a wireless signal strength of a wireless signal device installed on the sports equipment; executing a determination step to determine whether the change in the wireless signal strength matches a preset signal strength trajectory, wherein the preset signal strength trajectory has a plurality of different strength values; when the determination result of the determination step is a match, adding an action count once; when the determination result of the determination step is a mismatch, maintaining the action count; and generating and outputting a sports state message at least according to the action count. The method for evaluating the sports state as described in claim 1 further comprises: capturing a target type information of the sports equipment from a wireless signal of the wireless signal device; and selecting the preset signal strength trajectory from a plurality of candidate signal strength trajectories according to the target type information; wherein the candidate signal strength trajectories correspond to a plurality of preset type information respectively. The method for evaluating the sports state as described in claim 1 further comprises: detecting an identification element disposed on the sports equipment through an identification element detection device to obtain target type information of the sports equipment; and selecting the preset signal strength trajectory from a plurality of candidate signal strength trajectories according to the target type information; wherein the candidate signal strength trajectories correspond to a plurality of preset type information respectively. The motion state assessment method as described in claim 1, wherein the preset signal strength trajectory includes multiple preset features, and the judgment step includes: judging whether the wireless signal strength change has these preset features. The motion state assessment method as described in claim 1, wherein the wireless signal strength change includes multiple wireless signal strength values detected within a continuous time, and the judgment step includes: extracting a preset feature from the wireless signal strength change; selecting a starting strength value from the wireless signal strength values according to the preset feature; and comparing the wireless signal strength change with the preset signal strength trajectory starting from the starting strength value in the order of the continuous time to see whether the similarity is greater than a preset threshold. The motion state assessment method as described in claim 1 further includes: when the judgment result of the judgment step remains mismatched for a preset period of time, the preset signal strength trajectory is rotated along a preset direction and the judgment step is continued. The method for evaluating the sports state as described in claim 1, wherein obtaining the change in the strength of the wireless signal of the wireless signal device installed in the sports equipment comprises: obtaining a plurality of first wireless signal strength values within a continuous time; obtaining a plurality of second wireless signal strength values within the continuous time; performing a noise processing on the first wireless signal strength values and the second wireless signal strength values, comprising: when the first wireless signal strength values are relative to time, When the difference between a first rate of change of the signal and a second rate of change of the second wireless signal strength values over time is greater than a preset threshold, the first wireless signal strength values and the second wireless signal strength values corresponding to the larger of the first rate of change and the second rate of change are removed; and the wireless signal strength change is generated using the first wireless signal strength values and the second wireless signal strength values after the noise processing. The motion state evaluation method as described in claim 1 further comprises: when the determination result of the determination step is a match, analyzing at least one extreme strength value of the wireless signal strength change; and generating time information according to the time difference between the start time point, the end time point and at least one time point corresponding to the at least one extreme strength value of the matching part of the wireless signal strength change; wherein the motion state information is further generated according to the time information. The method for evaluating the sports status as described in claim 1 further comprises: acquiring weight information of the sports equipment from a wireless signal of the wireless signal device; wherein the sports status information is further generated based on the weight information. The method for evaluating the sports status as described in claim 1 further comprises: detecting at least one identification element disposed on the sports equipment through an identification element detection device to obtain weight information of the sports equipment; wherein the sports status information is further generated based on the weight information. The method for evaluating the sports state as described in claim 1 further comprises: obtaining an image of the sports equipment provided with at least one identification pattern; and identifying a block in the image corresponding to at least one identification pattern according to a plurality of pre-stored patterns to obtain weight information of the sports equipment; wherein the sports state information is further generated according to the weight information. The method for evaluating the state of movement as claimed in claim 1, wherein the sports equipment comprises a main body and at least one counterweight, and the method for evaluating the state of movement further comprises: obtaining an image of the sports equipment; analyzing a reference pixel area corresponding to the main body in the image; obtaining at least one target pixel area corresponding to the at least one counterweight in the image according to the reference pixel area; and obtaining weight information of the at least one counterweight according to at least the pixel area of the at least one target pixel area; wherein the sports state information is further generated according to the weight information. The motion state evaluation method as described in claim 12, wherein obtaining the weight information of the at least one counterweight block based on at least the pixel area of the at least one target pixel area includes: determining that the pixel area of the at least one target pixel area belongs to a target range among multiple preset ranges; and obtaining a target weight corresponding to the target range from multiple preset weights; wherein the weight information includes the target weight. The motion state evaluation method as described in claim 12, wherein the weight information of the at least one counterweight block is obtained based on the pixel area of the at least one target pixel area, including: determining that the pixel area of the at least one target pixel area belongs to a target range among multiple preset ranges; determining that the color of the at least one target pixel area belongs to a target color among multiple preset colors; and obtaining a target weight corresponding to the target range and the target color from multiple preset weights; wherein the weight information includes the target weight. A sports state evaluation system is applicable to a sports equipment, comprising: a first wireless signal device, used to be set on the sports equipment; at least one second wireless signal device, used to communicate wirelessly with the first wireless signal device; a computing device, connected to the at least one second wireless signal device, used to: obtain a wireless signal strength change of the first wireless signal device through the at least one second wireless signal device ; executing a determination step of whether the wireless signal strength change matches a preset signal strength trajectory, wherein the preset signal strength trajectory has a plurality of different strength values; when the determination result of the determination step is a match, adding an action count once; when the determination result of the determination step is a mismatch, maintaining the action count; and generating and outputting a motion status message at least according to the action count. The sports state assessment system as described in claim 15 further comprises: an identification element, which is used to be set on the sports equipment and store a target type information of the sports equipment; and an identification element detection device, which is connected to the computing device; wherein the computing device is further used to detect the identification element through the identification element detection device to obtain the target type information, and select the default signal strength track from multiple candidate signal strength tracks according to the target type information; wherein the candidate signal strength tracks correspond to multiple preset type information respectively. The motion state assessment system as described in claim 15, wherein the number of the at least one second wireless signal control device is multiple, and the computing device is used to: obtain multiple first wireless signal strength values through one of the at least one second wireless signal control device; obtain multiple second wireless signal strength values through another of the at least one second wireless signal control device; perform a noise processing on the first wireless signal strength values and the second wireless signal strength values, including: when When the difference between a first change rate of the first wireless signal strength values over time and a second change rate of the second wireless signal strength values over time is greater than a preset threshold, the first wireless signal strength values and the second wireless signal strength values corresponding to the larger one of the first change rate and the second change rate are removed; and the wireless signal strength change is generated using the first wireless signal strength values and the second wireless signal strength values after the noise processing. The sports status evaluation system as described in claim 15 further comprises: at least one identification element, which is used to be set on the sports equipment and store a weight information of the sports equipment; and an identification element detection device, which is connected to the computing device; wherein the computing device is used to detect the at least one identification element through the identification element detection device to obtain the weight information, and generate the sports status information according to the target type information and the weight information. As described in claim 15, the sports equipment includes at least one counterweight block, and the at least one identification element is multiple in number and is respectively used to be set on the counterweight blocks. As described in claim 15, the sports equipment is provided with at least one identification pattern, and the sports equipment further comprises: an image capture device connected to the computing device, used to obtain an image of the sports equipment; wherein the computing device is further used to identify a block in the image corresponding to at least one identification pattern according to a plurality of pre-stored patterns to obtain a weight information of the sports equipment, and the sports status information is further generated according to the weight information. The sports state evaluation system as described in claim 15, wherein the sports equipment comprises a main body and at least one counterweight, and the sports state evaluation system further comprises: an image capture device connected to the computing device, used to obtain an image of the sports equipment; wherein the computing device is further used to analyze a reference pixel area corresponding to the main body in the image, obtain at least one target pixel area corresponding to the at least one counterweight in the image according to the reference pixel area, and obtain weight information of the at least one counterweight at least according to the pixel area of the at least one target pixel area; wherein the sports state information is further generated according to the weight information. A non-transitory computer-readable medium comprises at least one computer-executable program, wherein the at least one computer-executable program is executed by a processor to perform a motion state assessment method as described in any one of claims 1 to 14.

Images