CN118078227A - Remote controller capable of detecting human health and detection method thereof - Google Patents

Abstract

The invention relates to the technical field of health monitoring, in particular to a remote controller capable of detecting human health and a detection method thereof, wherein the remote controller comprises a shell, a circuit board, a control chip, a health monitoring sensor network, a touch screen, a wireless communication module, a battery, a loudspeaker and an environment sensor; wherein the housing is ergonomically designed; the circuit board integrates circuitry for processing signals and data; the control chip is used for processing user instructions and sensor data; the health monitoring sensor network is used for monitoring physiological parameters of a user in real time; the touch screen is used for displaying health monitoring data. According to the invention, a daily remote controller is combined with a health monitoring function, so that convenient real-time health data tracking and analysis are realized, and long-term health management is supported through wireless data sharing, thereby providing a simple, convenient, efficient and comprehensive health management solution for users.

Description

Remote controller capable of detecting human health and detection method thereof

Technical Field

The present invention relates to the technical field of health monitoring, and in particular to a remote controller capable of detecting human health and a detection method thereof.

Background technique

In modern society, with the rapid development of technology, smart home devices have become a part of daily life, especially remote controls, which are commonly used interface devices in smart home systems. Their functions and application scope are constantly expanding. However, although remote controls have made significant progress in operational convenience and intelligent control, their potential in personal health monitoring has not been fully developed. The remote controls currently on the market mainly focus on control functions, such as operating televisions, air conditioners and other equipment, while ignoring the health monitoring potential brought about by their close contact with users' daily lives.

The limitation of existing technology is that although people frequently use remote controls in daily life, these devices are not designed to collect or analyze user health data. Therefore, there is an underutilized opportunity to integrate health monitoring functions into remote controls to provide users with real-time health tracking and analysis. This can not only enhance the functionality of the remote control, but also seamlessly monitor the user's health status in daily life. Especially for the elderly or people with special health monitoring needs, this remote control with integrated health monitoring will provide significant convenience and safety.

Summary of the invention

Based on the above objectives, the present invention provides a remote controller capable of detecting human health and a detection method thereof.

A remote control capable of detecting human health comprises a shell, a circuit board, a control chip, a health monitoring sensor network, a touch screen, a wireless communication module, a battery, a speaker and an environmental sensor; wherein the shell is ergonomically designed for easy holding; the circuit board integrates circuits for processing signals and data; the control chip is used to process user instructions and sensor data; the health monitoring sensor network is used to monitor the user's physiological parameters in real time; the touch screen is used to display health monitoring data and provide traditional remote control functions; the wireless communication module is used for data transmission and connection with other smart devices; the battery is used to power the remote control; the speaker is used for voice control functions; and the environmental sensor is used to monitor the environment and assist in determining the user's health status.

Furthermore, the health monitoring sensor network includes a temperature sensor, a heart rate sensor, and a blood oxygen saturation sensor, and the surface material of the shell has antibacterial properties to reduce bacterial accumulation.

A remote control detection method capable of detecting human health comprises the following steps:

S1: The user inputs personal health data through the touch screen of the remote control, and the personal health data is stored in the control chip built into the remote control for subsequent data analysis;

S2: When the user holds the remote control, the health monitoring sensor network in the shell is automatically activated and starts to continuously monitor the physiological parameters of heart rate, body temperature, and blood oxygen saturation;

S3: The circuit board receives the physiological parameters and transmits them to the control chip, which will analyze the collected physiological parameters in real time based on the user's personal health data and compare them with the user's basic health data;

S4: When the control chip detects any abnormal deviation, the remote controller will alert the user through the speaker and touch screen;

S5: Continuously monitor environmental parameters through environmental sensors, and send the detected environmental data to the control chip to assist in evaluating the user's health status;

S6: Through the wireless communication module, the remote controller synchronizes the collected health data to the user's smart device or medical service provider and generates health reports regularly;

S7: Through the touch screen, users can view real-time and historical health data, adjust their lifestyle habits or seek medical advice based on the health data.

Furthermore, the S1 specifically includes:

S11: When the user touches the touch screen of the remote control, the touch screen will automatically activate and the control chip will call the personal health data input interface, which includes an intuitive user interface for displaying data input fields;

S12: The user enters health data such as age, gender, basal heart rate, and blood pressure through a virtual keyboard and selector on the touch screen, and the touch screen provides instant feedback to confirm the input of each data item;

S13: After the input is completed, the control chip processes and displays an overview interface of all input data for the user to review. The user will modify or confirm the data on the overview interface;

S14: After the user confirms the data, the control chip performs data encryption to ensure the security of personal information. The encrypted data will be transmitted to the control chip through the secure channel of the circuit board;

S15: The control chip receives and stores the encrypted data in its built-in secure storage unit, and automatically generates a backup to ensure data reliability and prevent loss.

Furthermore, the S2 specifically includes:

S21: When the user holds the remote control, the holding detection sensor built into the housing will be triggered and send an activation signal to the control chip to start the monitoring process;

S22: after receiving the grip detection signal, the control chip activates a health monitoring sensor network, including heart rate, body temperature and blood oxygen saturation sensors, wherein the sensors of the health monitoring sensor network are arranged on the outer surface of the housing to ensure contact with the user's hand to obtain accurate physiological data;

S23: The activated sensor network starts to continuously monitor heart rate, body temperature and blood oxygen saturation, and sends the collected data to the circuit board. The circuit board will perform preliminary processing on the data, including filtering and signal amplification. The filtering process will use a low-pass filter to eliminate high-frequency noise and improve data quality. The specific formula is: Wherein, Y(t) is the output signal after filtering, X(τ) is the original input signal, R is the value of the resistor, C is the value of the capacitor, t is the current time, τ is the integral variable, indicating the past time point, and e is the base of the natural logarithm; the signal amplification process uses an operational amplifier to enhance the sensor signal, and the operational amplifier is specifically a non-inverting amplifier configuration to amplify the coefficient: the specific formula is:/> Where Gain is the amplification factor, i.e., the number by which the amplifier enhances the signal, and _R1 and _R2 are the resistance values of the two resistors in the amplifier circuit.

Furthermore, the S3 comprises:

S31: The circuit board receives the physiological parameter data after preliminary processing from the health monitoring sensor network and integrates the data format so that the control chip can process it;

S32: The integrated data is sent to the control chip through a preset secure data transmission channel;

S33: The control chip uses the standard deviation algorithm to perform real-time analysis on the received data to evaluate the range of data changes. The specific formula of the standard deviation algorithm is: Where σ is the standard deviation, N is the number of samples, _xi is a single sample value, and μ is the sample mean;

S34: The control chip compares the result of the real-time analysis with the stored basic health data of the user to determine whether there is an abnormality. The specific comparison method will use a threshold comparison algorithm, and the specific formula is: |HR _current -HR _baseline |>HR _threshold , where HR _current is the current heart rate, HR _baseline is the user's basic heart rate, and HR _threshold is the set heart rate abnormality threshold. The abnormality judgment rule is that when the difference between the real-time data and the basic data exceeds the preset threshold, it is judged as abnormal.

Furthermore, the S4 specifically includes:

S41: The control chip continuously monitors the physiological parameter data for real-time analysis. When any parameter is detected to deviate from the normal range, the control chip immediately identifies it as an abnormal state;

S42: After identifying the abnormal state, the control chip generates an alarm signal, which includes an audio signal and a visual signal, which are used to activate the speaker and the touch screen alarm respectively;

S43: The control chip sends an audio signal to a speaker, and the speaker emits an alarm sound according to the received signal; at the same time, the control chip sends a visual alarm signal to the touch screen, and the touch screen displays specific alarm information and uses conspicuous colors and flashing effects to attract the user's attention;

S44: The touchscreen also includes an emergency response button, allowing the user to quickly contact emergency services or preset contacts.

Furthermore, the S5 specifically includes:

S51: The remote controller has built-in environmental sensors, including temperature and humidity sensors, to continuously monitor the temperature and humidity of the indoor environment.

S52: The environmental sensor periodically sends the collected data to the circuit board, and the circuit board then transmits the data to the control chip;

S53: After receiving the environmental data, the control chip will conduct a comprehensive analysis with the stored user health parameters. The analysis method includes determining the correlation between the environmental factors and the user's physiological parameters, specifically analyzing the impact of high indoor temperature on the user's heart rate, or the relationship between indoor humidity changes and the user's blood oxygen level;

S54: The control chip uses a linear regression model to evaluate the potential impact of environmental factors on the user's health status. The model formula is: HR = β ₀ + β ₁ × Temp + ε, where HR represents heart rate, Temp represents ambient temperature, β ₀ is the intercept, which represents the basic heart rate when there is no change in ambient temperature, β ₁ is the slope, which represents the average change in heart rate when the ambient temperature changes by one unit, and ε represents the error term. When it is determined that a certain environmental factor is significantly correlated with the user's health parameters, the control chip will consider this factor in subsequent health assessments and alarm decisions.

Furthermore, the S6 specifically includes:

S61: The control chip regularly integrates the collected health data, including heart rate, body temperature, blood oxygen saturation and environmental data. The integrated data is encrypted using the encryption standard AES to ensure security during transmission;

S62: The control chip configures data transmission through a built-in wireless communication module. Before transmission, the control chip checks and ensures a secure connection with the user's smart device or medical service provider;

S63: The encrypted health data is sent to a preset receiving end, including the user's smartphone, tablet computer, and a server of a medical service provider, via a wireless communication module;

S64: The control chip periodically generates a comprehensive health report, which includes time series analysis, data trends, and detected anomalies.

Furthermore, the S7 specifically includes:

S71: The control chip controls the touch screen to display a user-friendly data display interface, which includes charts and tables for displaying real-time and historical health data, including heart rate, body temperature, blood oxygen saturation and environmental data. The control chip will also update and display the current health data in real time, including real-time physiological parameter readings and environmental parameter readings;

S72: Users can access historical health data through a touch screen interface, and the control chip provides a time series view of the data, including trend graphs and data summaries, so that users can understand changes in health status over time;

S73: The control chip provides concise health information interpretation and suggestions on the touch screen based on the data analysis results. When a sustained increase in heart rate is detected, the user will be advised to reduce caffeine intake or consult a doctor.

Beneficial effects of the present invention:

The present invention greatly improves the convenience of health monitoring by combining the health monitoring function with the remote control used in daily life. While using the remote control to perform daily operations such as controlling smart home devices such as televisions and air conditioners, users can seamlessly perform health monitoring, such as real-time tracking of heart rate, body temperature, and blood oxygen saturation. This integration method provides additional convenience and safety protection, especially for the elderly or people who need continuous health monitoring, and reduces the need to use numerous devices.

The present invention ensures the accuracy and reliability of the collected health data through data processing and analysis capabilities. The control chip analyzes the collected data in real time and compares it with the user's basic health data, so as to promptly detect any health abnormalities. In addition, the remote control provides real-time feedback and alarms to the user through the built-in speaker and touch screen, which helps the user to understand his or her health status in a timely manner and take action when necessary. This real-time feedback mechanism provides strong support for the user's health management.

The present invention supports the sharing of health data through a wireless communication module, allowing users to synchronize the collected data to smart devices or directly share it with medical service providers. This not only helps doctors better understand the user's health status, but also contributes to long-term health management and disease prevention. Users can access detailed health reports through a touch screen interface, including historical data and health trend analysis, making personal health management more proactive and efficient. This data sharing and long-term tracking function greatly enhances the value of the remote control as a health management tool.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a schematic diagram of the structure of a remote controller according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of a remote controller detection method according to an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

As shown in Figure 1, a remote control that can detect human health includes a shell, a circuit board, a control chip, a health monitoring sensor network, a touch screen, a wireless communication module, a battery, a speaker and an environmental sensor; wherein the shell adopts an ergonomic design for easy holding; the circuit board integrates circuits for processing signals and data; the control chip is used to process user instructions and sensor data; the health monitoring sensor network is used to monitor the user's physiological parameters in real time; the touch screen is used to display health monitoring data and provide traditional remote control functions; the wireless communication module is used for data transmission and connection with other smart devices; the battery is used to power the remote control; the speaker is used for voice control functions and provides health-related feedback and alarms; the environmental sensor is used to monitor the environment and assist in judging the user's health status.

The health monitoring sensor network includes temperature sensors, heart rate sensors, and blood oxygen saturation sensors. The surface material of the shell has antibacterial properties to reduce bacterial accumulation.

As shown in FIG2 , a detection method for a remote controller capable of detecting human health includes the following steps:

S1: The user inputs personal health data (such as age, gender, basal heart rate, blood pressure, etc.) through the touch screen of the remote control, and the personal health data is stored in the control chip built into the remote control for subsequent data analysis;

S2: When the user holds the remote control, the health monitoring sensor network in the shell is automatically activated and starts to continuously monitor the physiological parameters of heart rate, body temperature, and blood oxygen saturation;

S3: The circuit board receives the physiological parameters and transmits them to the control chip, which will analyze the collected physiological parameters in real time based on the user's personal health data and compare them with the user's basic health data;

S4: When the control chip detects any abnormal deviation, the remote controller will alert the user through the speaker and touch screen;

S5: Continuously monitor environmental parameters through environmental sensors, and send the detected environmental data to the control chip to assist in evaluating the user's health status;

S6: Through the wireless communication module, the remote controller synchronizes the collected health data to the user's smart device or medical service provider and generates health reports regularly;

S7: Through the touch screen, users can view real-time and historical health data, adjust their lifestyle habits or seek medical advice based on the health data.

S1 specifically includes:

S11: When the user touches the touch screen of the remote control, the touch screen will automatically activate and the control chip will call the personal health data input interface, which includes an intuitive user interface for displaying data input fields;

S12: The user enters health data such as age, gender, basal heart rate, and blood pressure through a virtual keyboard and selector on the touch screen, and the touch screen provides instant feedback to confirm the input of each data item;

S13: After the input is completed, the control chip processes and displays an overview interface of all input data for the user to review. The user will modify or confirm the data on the overview interface;

S14: After the user confirms the data, the control chip performs data encryption to ensure the security of personal information. The encrypted data will be transmitted to the control chip through the secure channel of the circuit board;

S15: The control chip receives and stores the encrypted data in its built-in secure storage unit, and automatically generates a backup to ensure data reliability and prevent loss.

S2 specifically includes:

S21: When the user holds the remote control, a holding detection sensor (such as a capacitive sensor) built into the housing is triggered and sends an activation signal to the control chip to start the monitoring process;

S22: After receiving the grip detection signal, the control chip activates the health monitoring sensor network, including heart rate, body temperature and blood oxygen saturation sensors, where the sensors of the health monitoring sensor network are arranged on the outer surface of the housing to ensure contact with the user's hand to obtain accurate physiological data;

S23: The activated sensor network starts to continuously monitor heart rate, body temperature and blood oxygen saturation, and sends the collected data to the circuit board. The circuit board will perform preliminary processing on the data, including filtering and signal amplification. The filtering process will use a low-pass filter to eliminate high-frequency noise and improve data quality. The specific formula is: Among them, Y(t) is the output signal after filtering, X(τ) is the original input signal, R is the value of the resistor, C is the value of the capacitor, t is the current time, τ is the integral variable, indicating the past time point, and e is the base of the natural logarithm (approximately equal to 2.71828); the signal amplification process uses an operational amplifier to enhance the sensor signal, and the operational amplifier is specifically a non-inverting amplifier configuration to amplify the coefficient: The specific formula is:/> Where Gain is the amplification factor, i.e., how much the amplifier boosts the signal, and _R1 and _R2 are the resistance values of the two resistors in the amplifier circuit, ensuring that it is suitable for further analysis.

S3 features include:

S31: The circuit board receives the physiological parameter data after preliminary processing from the health monitoring sensor network and integrates the data format so that the control chip can process it;

S32: The integrated data is sent to the control chip through a preset secure data transmission channel;

S33: The control chip uses the standard deviation algorithm to perform real-time analysis on the received data to evaluate the range of data changes. The specific formula of the standard deviation algorithm is: Where σ is the standard deviation, N is the number of samples, _xi is a single sample value, and μ is the sample mean;

S34: The control chip compares the result of the real-time analysis with the stored basic health data of the user (such as the preset heart rate and blood pressure range) to determine whether there is an abnormality. The specific comparison method will use a threshold comparison algorithm, and the specific formula is: |HR _current -HR _baseline |>HR _threshold , where HR _current is the current heart rate, HR _baseline is the user's basic heart rate, and HR _threshold is the set heart rate abnormality threshold. The abnormality judgment rule is that when the difference between the real-time data and the basic data exceeds the preset threshold, it is judged as abnormal. This method is also applicable to other physiological parameters such as body temperature and blood oxygen saturation.

S4 specifically includes:

S41: The control chip continuously monitors the physiological parameter data for real-time analysis. When any parameter (such as heart rate, body temperature, blood oxygen saturation) is detected to deviate from the normal range, the control chip immediately identifies it as an abnormal state;

S42: After identifying the abnormal state, the control chip generates an alarm signal, which includes an audio signal and a visual signal, which are used to activate the speaker and the touch screen alarm respectively;

S43: The control chip sends an audio signal to a speaker, and the speaker emits an alarm sound according to the received signal. The alarm sound is designed to have a volume and frequency sufficient to attract the user's attention but not to cause panic; at the same time, the control chip sends a visual alarm signal to the touch screen, and the touch screen displays specific alarm information, such as "abnormal heart rate" or "low blood oxygen level", and uses conspicuous colors and flashing effects to attract the user's attention;

S44: The touchscreen also includes an emergency response button, allowing the user to quickly contact emergency services or preset contacts.

S5 specifically includes:

S51: Built-in environmental sensors in the remote control, including temperature sensor and humidity sensor, are used to continuously monitor the temperature and humidity of the indoor environment. These sensors are designed to be highly sensitive and accurate to ensure data reliability.

S52: The environmental sensor sends the collected data to the circuit board regularly, and the circuit board then transmits the data to the control chip. This process ensures the timeliness and integrity of the data.

S53: After receiving the environmental data, the control chip will conduct a comprehensive analysis with the stored user health parameters (such as heart rate and body temperature). The analysis method includes determining the correlation between environmental factors and user physiological parameters, specifically analyzing the impact of high indoor temperature on the user's heart rate, or the relationship between indoor humidity changes and the user's blood oxygen level;

S54: The control chip uses a linear regression model to evaluate the potential impact of environmental factors on the user's health status. The model formula is: HR = β ₀ + β ₁ × Temp + ε, where HR represents heart rate (dependent variable), that is, the variable we want to predict or estimate, Temp represents ambient temperature (independent variable), that is, the environmental factor we think may affect the heart rate, β ₀ is the intercept, which represents the basic heart rate when there is no change in ambient temperature (that is, Temp = 0), β ₁ is the slope, which represents the average change in heart rate when the ambient temperature changes by one unit, ε represents the error term, which includes the heart rate changes that the model cannot explain. In the context of the present invention, the heart rate (HR) is the user's current heart rate value measured by the heart rate sensor built into the remote control, and the ambient temperature (Temp) is the indoor ambient temperature measured by the temperature sensor built into the remote control. The intercept (β ₀ ) and slope (β ₁ ) are obtained through historical data analysis, reflecting the general trend of heart rate changes under different ambient temperatures. When it is determined that a certain environmental factor is significantly correlated with the user's health parameters, the control chip will consider this factor in subsequent health assessments and alarm decisions.

S6 specifically includes:

S61: The control chip regularly integrates the collected health data, including heart rate, body temperature, blood oxygen saturation and environmental data. The integrated data is encrypted using the encryption standard AES to ensure security during transmission;

S62: The control chip configures data transmission through a built-in wireless communication module (such as Wi-Fi or Bluetooth). Before transmission, the control chip checks and ensures a secure connection with the user's smart device or medical service provider;

S63: The encrypted health data is sent to a preset receiving end, including the user's smartphone, tablet computer and the server of the medical service provider, through the wireless communication module. During the data transmission process, the control chip monitors the transmission status to ensure data integrity and transmission reliability;

S64: The control chip periodically generates a comprehensive health report, which includes time series analysis, data trends, and detected anomalies. The generated health report is also encrypted and then sent to the user's smart device or medical service provider through the wireless communication module. On the user side, a dedicated application or software will be used to decrypt and display the health report so that the user can easily access and understand his or her health information.

S7 specifically includes:

S71: The control chip controls the touch screen to display a user-friendly data display interface, which includes charts and tables for displaying real-time and historical health data, including heart rate, body temperature, blood oxygen saturation and environmental data. The control chip will also update and display the current health data in real time, including real-time physiological parameter readings and environmental parameter readings, so that users can understand their health status in a timely manner;

S72: Users can access historical health data through a touch screen interface, and the control chip provides a time series view of the data, including trend graphs and data summaries, so that users can understand changes in health status over time;

S73: The control chip provides concise health information interpretation and suggestions on the touch screen based on the data analysis results. When a sustained increase in heart rate is detected, the user will be advised to reduce caffeine intake or consult a doctor;

The above steps S71-S73 describe in detail how to enable users to access and utilize their own health data through the touch screen of the remote control so as to better manage their health and living habits.

The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims (10)

1. The remote controller capable of detecting human health is characterized by comprising a shell, a circuit board, a control chip, a health monitoring sensor network, a touch screen, a wireless communication module, a battery, a loudspeaker and an environment sensor; wherein, the shell adopts ergonomic design, is convenient for hold; the circuit board integrates circuitry for processing signals and data; the control chip is used for processing user instructions and sensor data; the health monitoring sensor network is used for monitoring physiological parameters of a user in real time; the touch screen is used for displaying health monitoring data and providing a traditional remote control function; the wireless communication module is used for data transmission and connection with other intelligent devices; the battery supplies power for the remote controller; the loudspeaker is used for voice control function; the environment sensor is used for monitoring the environment and assisting in judging the health state of the user.

2. The remote control of claim 1, wherein the health monitoring sensor network comprises a temperature sensor, a heart rate sensor, and a blood oxygen saturation sensor, and wherein the surface material of the housing has antibacterial properties for reducing bacteria accumulation.

3. A method for detecting a remote control for detecting human health according to any one of claims 1-2, comprising the steps of:

s1: the user inputs personal health data through a touch screen of the remote controller, and the personal health data is stored in a control chip arranged in the remote controller for subsequent data analysis;

s2: when a user holds the remote controller, the health monitoring sensor network in the shell is automatically activated to start continuously monitoring physiological parameters of heart rate, body temperature and blood oxygen saturation;

S3: the circuit board receives physiological parameters and transmits the physiological parameters to the control chip, and the control chip analyzes the collected physiological parameters in real time according to personal health data of a user and compares the collected physiological parameters with basic health data of the user;

s4: when the control chip detects any abnormal deviation, the remote controller gives an alarm to a user through the loudspeaker and the touch screen;

S5: continuously monitoring parameters of the environment through an environment sensor, and sending data of the detected environment to a control chip for assisting in assessing the health state of a user;

S6: the remote controller synchronizes the collected health data to intelligent equipment or a medical service provider of the user through the wireless communication module, and periodically generates a health report;

S7: the user can view real-time and historical health data through the touch screen, and life habits are adjusted or medical consultation is sought according to the health data.

4. The method for detecting a remote controller capable of detecting human health according to claim 3, wherein S1 specifically comprises:

S11: when a user touches the touch screen of the remote controller, the touch screen is automatically activated and a control chip invokes a personal health data input interface, wherein the interface comprises an intuitive user interface for displaying data input fields;

S12: the user inputs the health data of age, gender, basic heart rate and blood pressure through a virtual keyboard and a selector on the touch screen, and the touch screen provides instant feedback to confirm the input of each item of data;

s13: after the input is finished, the control chip processes and displays an overview interface of all input data for the user to review, and the user modifies or confirms the data on the overview interface;

s14: after the user confirms the data, the control chip performs data encryption to ensure personal information security, and the encrypted data is transmitted to the control chip through a security channel of the circuit board;

S15: the control chip receives and stores the encrypted data in a built-in safe storage unit thereof and automatically generates backup so as to ensure the reliability of the data and prevent the data from being lost.

5. The method for detecting a remote controller capable of detecting human health according to claim 4, wherein S2 specifically comprises:

s21: when a user holds the remote controller, a holding detection sensor arranged in the shell is triggered and sends an activating signal to the control chip so as to start a monitoring process;

S22: after receiving the holding detection signal, the control chip activates a health monitoring sensor network which comprises heart rate, body temperature and blood oxygen saturation sensors, wherein the sensors of the health monitoring sensor network are arranged on the outer surface of the shell, so that the sensors are ensured to be in contact with the hands of a user, and accurate physiological data are obtained;

s23: the activated sensor network starts to continuously monitor heart rate, body temperature and blood oxygen saturation, and sends collected data to the circuit board, the circuit board performs preliminary processing on the data, the preliminary processing comprises filtering processing and signal amplification processing, the filtering processing uses a low-pass filter to eliminate high-frequency noise, and the specific formula is as follows: Wherein Y (t) is the filtered output signal, X (τ) is the original input signal, R is the value of the resistor, C is the value of the capacitor, t is the current time, τ is the integral variable, it represents the past point in time, and e is the base of the natural logarithm; the signal amplification process employs an operational amplifier, specifically a non-inverting amplifier, configured to amplify the sensor signal by a factor: the specific formula is as follows: /(I) Where Gain is the amplification factor, i.e., the multiple of the amplifier boost signal, and R ₁ and R ₂ are the resistance values of the two resistors in the amplifier circuit.

6. The method for detecting a remote controller for detecting human health according to claim 5, wherein S3 comprises:

s31: the circuit board receives the primarily processed physiological parameter data from the health monitoring sensor network and integrates data formats so as to control the chip to process;

S32: the integrated data are sent to the control chip through a preset safe data transmission channel;

S33: the control chip analyzes the received data in real time by using a standard deviation algorithm to evaluate the variation range of the data, wherein the specific standard deviation algorithm has the formula: where σ is the standard deviation, N is the number of samples, x _i is the single sample value, μ is the sample mean;

S34: the control chip compares the real-time analysis result with the stored user basic health data to judge whether the abnormality exists, and the specific comparison method uses a threshold comparison algorithm, and the specific formula is expressed as follows:

HR _current-HR_baseline|>HR_threshold, where HR _current is the current heart rate, HR _baseline is the user's basal heart rate, HR _threshold is the set heart rate abnormality threshold, and the abnormality determination rule is that when the difference between the real-time data and the basal data exceeds a preset threshold, abnormality is determined.

7. The method for detecting a remote controller capable of detecting human health according to claim 6, wherein S4 specifically comprises:

s41: the control chip continuously monitors the physiological parameter data analyzed in real time, and when any parameter is detected to deviate from a normal range, the control chip immediately recognizes the physiological parameter data as an abnormal state;

S42: after the control chip identifies the abnormal state, generating an alarm signal, wherein the alarm signal comprises an audio signal and a visual signal which are respectively used for activating a loudspeaker and a touch screen alarm;

S43: the control chip sends the audio signal to the loudspeaker, and the loudspeaker sends out alarm sound according to the received signal; meanwhile, the control chip sends a visual alarm signal to the touch screen, the touch screen displays specific alarm information, and the obvious color and the flickering effect are used for attracting the attention of a user;

s44: the touch screen also includes an emergency response button that allows the user to quickly contact emergency services or preset contacts.

8. The method for detecting a remote controller capable of detecting human health according to claim 7, wherein S5 specifically comprises:

S51: the environment sensor is arranged in the remote controller and comprises a temperature sensor and a humidity sensor, and is used for continuously monitoring the temperature and the humidity of the indoor environment;

S52: the environment sensor periodically sends the collected data to a circuit board, and the circuit board transmits the data to a control chip;

S53: after receiving the environmental data, the control chip comprehensively analyzes the environmental data and the stored user health parameters, wherein the analysis method comprises the steps of determining the correlation between the environmental factors and the user physiological parameters, and specifically analyzing the influence of indoor high temperature on the heart rate of the user or the relation between indoor humidity change and the blood oxygen level of the user;

S54: the control chip uses a linear regression model to evaluate the potential influence of environmental factors on the health state of the user, and the model formula is as follows: hr=β ₀+β₁ ×temp+epsilon, where HR represents heart rate, temp represents ambient temperature, β ₀ is intercept, represents base heart rate without ambient temperature change, β ₁ is slope, represents average change in heart rate per unit change in ambient temperature, epsilon represents error term, when it is determined that an environmental factor is significantly correlated with a user's health parameter, the control chip will consider that factor in subsequent health assessment and alarm decisions.

9. The method for detecting a remote controller capable of detecting human health according to claim 8, wherein S6 specifically comprises:

S61: the control chip integrates the collected health data including heart rate, body temperature, blood oxygen saturation and environmental data at regular intervals, and the integrated data is encrypted by an encryption standard AES to ensure the safety in the transmission process;

S62: the control chip is configured with data transmission through a built-in wireless communication module, and before transmission, the control chip checks and ensures safe connection with intelligent equipment of a user or a medical service provider;

s63: the encrypted health data is sent to a preset receiving end through a wireless communication module, wherein the receiving end comprises a smart phone, a tablet personal computer and a server of a medical service provider of a user;

s64: the control chip periodically generates a comprehensive health report including time series analysis, data trends, and detected anomalies.

10. The method for detecting a remote controller capable of detecting human health according to claim 9, wherein S7 specifically comprises:

S71: the control chip controls the touch screen to display a user-friendly data display interface, wherein the display interface comprises a chart and a table and is used for displaying real-time and historical health data, including heart rate, body temperature, blood oxygen saturation and environmental data, and the control chip also updates and displays current health data in real time, and specifically comprises real-time physiological parameter readings and environmental parameter readings;

S72: the user can access the historical health data through the touch screen interface, and the control chip provides a time sequence view of the data, including a trend graph and data summarization, so that the user can understand the change of the health condition along with time;

s73: the control chip provides concise health information interpretation and advice on the touch screen according to the data analysis result, and when the continuous heart rate rise is detected, the user is advised to reduce caffeine intake or consult doctors.