Human body AI intelligent training management system

Abstract

The application discloses a human body AI intelligent training management system, which comprises a relaxing device and a training management system, the training device comprises a training bracelet and the relaxing device, the training bracelet is internally provided with a motion sensor, the training system is arranged in the training bracelet, and the training management system comprises a real-time monitoring module, a data analysis and evaluation module, a personalized training scheme module, a real-time feedback and guidance module and a device adjustment module. Through the training management system, the motion state of a user is monitored in real time through the training bracelet, the motion state of the user is analyzed in real time according to various motion parameters of the user, a health state and a training plan matched with the user are formed, the problem that the evaluation dimension is single when the fatigue degree of an individual is judged through the change of a single heart rate variability value is solved, the limitation of evaluation is improved, the evaluation result is more accurate, the fatigue recovery condition of the individual can be confirmed, and scientific and intelligent training is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of artificial intelligence data analysis, and particularly to a human body AI intelligent training management system. BACKGROUND

[0002] With the increase of the fitness population, people pay more and more attention to their own health conditions, but since the physical conditions of each person are different, how to carry out differential training according to the own conditions is particularly important. In the process of exercise, the time of each person to produce fatigue and the time to recover from fatigue will also be different. Therefore, it is very important to judge the fatigue degree of the individual in the exercise and carry out individualized training.

[0003] In the prior art, the fatigue degree of the individual is usually judged by the change of a single heart rate variability (HRV) value. However, this evaluation dimension is single, has great limitations, and the evaluation result is not accurate enough, which cannot accurately confirm the fatigue recovery condition of the individual, and thus cannot realize scientific and intelligent training. SUMMARY

[0004] The present application provides a human body AI intelligent training management system to solve the above technical problems.

[0005] The technical scheme of the present application is implemented as follows:

[0006] A human body AI intelligent training management system, comprising a training device and a training management system, the training device comprising a training bracelet and a relaxation device, the training bracelet being internally provided with a motion sensor, the training system being internally provided in the training bracelet, the training management system comprising a real-time monitoring module, a data analysis and evaluation module, an individualized training scheme module, a real-time feedback and guidance module and a device adjustment module, the real-time monitoring module being in data intercommunication with the data analysis and evaluation module and the real-time feedback and guidance module, the data analysis and evaluation module being in data intercommunication with the individualized training scheme, and the individualized training scheme being in data intercommunication with the real-time feedback and guidance module.

[0007] The purposes of the present application and the technical problems thereof can be further achieved by the following technical measures.

[0008] Further, the real-time monitoring module comprises a motion sensor, a physiological parameter monitoring unit and a motion monitoring unit.

[0009] The motion sensor monitors the motion and motion range of the user.

[0010] The physiological parameter monitoring unit is used for monitoring physiological parameters including heart rate, blood pressure, blood oxygen saturation and the like.

[0011] The action monitoring unit analyzes the motion sensor data, monitors the user's movement amplitude, evaluates the completeness and accuracy of the action, and detects the user's movement state and action amplitude through the sensor.

[0012] Further, the data analysis and evaluation module includes a motion data analysis unit, a physiological parameter analysis unit, a motion load evaluation unit, a motion skill evaluation unit, and a health condition evaluation unit.

[0013] The motion data analysis unit processes and analyzes the motion data, including action accuracy, movement amplitude, movement speed, etc.

[0014] The physiological parameter analysis unit analyzes the changes in physiological parameters, such as heart rate changes, blood oxygen saturation changes, etc., for evaluating the user's exercise load and physical condition, and generating health information.

[0015] The motion load evaluation unit evaluates the user's exercise load and training intensity by analyzing the motion data and physiological parameters to determine whether the training is excessive or insufficient, and generates a training target.

[0016] The motion skill evaluation unit evaluates the user's motion skill level, such as coordination and balance ability, through analysis of the motion data.

[0017] The health condition evaluation unit evaluates the user's health condition based on the user's health information and physical condition.

[0018] Further, the individualized training program module includes a training phase division unit and a training plan generation unit.

[0019] The training phase division unit divides the training plan into different phases according to the user's training target and motion ability, gradually increasing the training difficulty and intensity.

[0020] The training plan generation unit generates an individualized training plan based on the user's health information, physical condition, and motion ability, including training frequency, intensity, duration, and motion type.

[0021] Further, the real-time feedback and guidance module includes an action correction guidance unit, a motion skill guidance unit, a control command sending unit, and a real-time feedback unit.

[0022] The action correction guidance unit provides specific action correction guidance and prompts by analyzing the motion data in real time, helping the user improve action execution.

[0023] The motion skill guidance unit provides relevant motion skill and strategy guidance according to the user's training target, helping the user optimize training results.

[0024] The control command sending unit generates a control command according to the user's movement and sends the control command to the relaxation device;

[0025] The real-time feedback unit provides instant feedback to the user by controlling the relaxation device to release biological microcurrent, guiding the user to correct incorrect movements or adjust exercise posture, or pause exercise;

[0026] Furthermore, the device adjustment module includes a device connection and control unit, a relaxation device adjustment unit and a control command receiving unit;

[0027] The device connection and control unit is connected to the relaxation device to control the operation mode, intensity and parameter settings of the relaxation device;

[0028] The relaxation device adjustment unit adjusts the relaxation device according to the user's personalized training plan and training goals to adapt to the user's training goals and athletic ability;

[0029] The control command receiving unit receives the control command sent by the control command sending unit and executes the command to control the operation of the relaxation device.

[0030] Beneficial effects

[0031] 1. This invention establishes a training management system that monitors the user's exercise status in real time through a training wristband. It analyzes the user's exercise status at any time based on multiple exercise parameters, and develops a health status and training plan that matches the user. This solves the problem of using a single assessment dimension, namely, to judge an individual's fatigue level based on changes in heart rate variability, thereby improving the limitations of this assessment and making the assessment results more accurate. It can confirm an individual's fatigue recovery status, thereby achieving scientific and intelligent training.

[0032] 2. The present invention also provides feedback to the user in the form of bio-microcurrent by sending control commands to the relaxation device. The bio-microcurrent also relaxes the user's muscles, can timely control the user's exercise status, and provide a more scientific exercise training plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a system framework diagram of a human AI intelligent training management system of the present invention;

[0034] Figure 2 This is a working principle diagram of the real-time monitoring module in the training system of the present invention;

[0035] Figure 3 This is a diagram showing the working principle of the data analysis and evaluation module in the training system of the present invention;

[0036] Figure 4This is a working principle diagram of the personalized training program module in the training system of the present invention;

[0037] Figure 5 This is a working principle diagram of the real-time feedback and guidance module in the training system of the present invention;

[0038] Figure 6 This is a working principle diagram of the equipment adjustment module in the training system of the present invention;

[0039] Figure 7 It is a structural schematic diagram of the training device of the present invention;

[0040] 1-Training equipment; 2-Training bracelet; 3-Relaxation device. DETAILED DESCRIPTION

[0041] In order to make the purposes, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0042] Example 1

[0043] like Figures 1-7 As shown, a human AI intelligent training and management system includes a relaxation device 3 and a training management system. The training device 1 includes a training bracelet 2 and a relaxation device 3. The training bracelet 2 has a built-in motion sensor. The relaxation device 3 can be worn on the user's limbs and can generate biological microcurrent to remind the user to rest or adjust the exercise posture during training. The training system is built into the training bracelet 2. The training management system includes a real-time monitoring module, a data analysis and evaluation module, a personalized training program module, a real-time feedback and guidance module, and an equipment adjustment module. The real-time monitoring module communicates data with the data analysis and evaluation module and the real-time feedback and guidance module respectively. The data analysis and evaluation module communicates data with the personalized training program, and the personalized training program communicates data with the real-time feedback and guidance module.

[0044] Furthermore, the real-time monitoring module includes a motion sensor, a physiological parameter monitoring unit and an action monitoring unit;

[0045] The motion sensor monitors the user's movements and range of motion. The motion sensor can detect the user's posture, movement speed, acceleration and other information, and transmit this data to the data analysis and evaluation module and the real-time feedback and guidance module;

[0046] The physiological parameter monitoring unit is used to monitor physiological parameters including heart rate, blood pressure, blood oxygen saturation, etc. The obtained parameters are transmitted to the data analysis and evaluation module for evaluating the user;

[0047] The motion monitoring unit analyzes motion sensor data, monitors the user's motion amplitude, evaluates the completeness and accuracy of the motion, detects the user's motion state and motion amplitude through sensors, compares the user's motion data with set standards, and evaluates the user's motion quality.

[0048] Furthermore, the data analysis and evaluation module includes a motion data analysis unit, a physiological parameter analysis unit, a motion load evaluation unit, a sports skill evaluation unit and a health status evaluation unit;

[0049] The motion data analysis unit processes and analyzes the motion data, including analysis of movement accuracy, movement amplitude, movement speed, etc.;

[0050] The physiological parameter analysis unit analyzes changes in physiological parameters, such as changes in heart rate and blood oxygen saturation, to assess the user's exercise load and physical condition and generate health information. By collecting physiological parameter data and combining it with baseline values ​​or reference ranges, the data is analyzed and interpreted to understand the user's physiological condition and physical fitness.

[0051] The exercise load evaluation unit evaluates the user's exercise load and training intensity by analyzing exercise data and physiological parameters to determine whether the user is overtrained or undertrained, and generates a training goal;

[0052] The sports skill evaluation unit evaluates the user's sports skill level, such as coordination and balance, by analyzing the sports data. It also comprehensively considers the sports data and physiological parameters, and evaluates the user's training status by calculating and comparing the user's exercise load and physical adaptability.

[0053] The health status assessment unit performs health status assessment based on the user's health information and physical condition, and assesses the user's sports performance and skill level through data recorded by the motion sensor in combination with sports skills and models.

[0054] Generate an assessment of the user's sports skill level and use the relaxation device 3 to correct the user's movements:

[0055] Posture and technical correctness: Evaluate the user's posture and technical correctness when performing specific actions or techniques, including the accuracy of the action, the standardization of the movement path, the smoothness of the action, etc.

[0056] Speed ​​and force of movement: Assess the user's speed and force level when performing movements;

[0057] Coordination and Balance: This assesses the user's coordination and balance when performing actions, including the ability to coordinate movements of various body parts and maintain body balance;

[0058] Sensitivity and reaction speed: Evaluate the user's sensitivity and reaction speed to external stimuli.

[0059] Furthermore, the personalized training program module includes a training phase division unit and a training plan generation unit;

[0060] The training phase division unit divides the training plan into different phases according to the user's training goals and athletic ability, gradually increasing the difficulty and intensity of the training. Based on the user's initial ability and goals, such as increasing strength, improving endurance, or improving a certain skill, the entire training process is divided into different phases. Each phase may include gradually increasing training intensity, changing training content, or periodic rest.

[0061] The training plan generation unit generates a personalized training plan based on the user's health information, physical condition, athletic ability, and training goals, including training frequency, intensity, duration, and exercise types. The unit combines the user's personal information, such as age, gender, physical condition, and goals, with the results of the training phase division to generate a specific training plan. The training plan typically includes weekly training frequency, duration of each training session, adjustment of training intensity, and recommended exercise types. The generated training plan can be adjusted and optimized based on the user's progress and feedback.

[0062] Furthermore, the real-time feedback and guidance module includes a movement correction guidance unit, a sports skill guidance unit, a control command sending unit and a real-time feedback unit;

[0063] The action correction guidance unit provides specific action correction guidance and prompts by analyzing the motion data in real time to help the user improve the execution of the action. By analyzing the user's motion data and providing action correction guidance on the display of the training bracelet 2 according to the pre-set correct posture, the user can correct the wrong posture;

[0064] The sports skills guidance unit provides relevant sports skills and strategy guidance based on the user's training goals to help the user optimize the training effect. Based on the user's training goals and personal characteristics, it provides personalized sports skills and strategy suggestions, as well as guidance on how to adjust the training plan to achieve the best results;

[0065] The control command sending unit generates a control command according to the user's movement and sends it to the relaxation device 3;

[0066] The real-time feedback unit provides instant feedback to the user by controlling the relaxation device 3 to release bio-microcurrent, guiding the user to correct wrong movements or adjust exercise posture, or pause exercise, and stimulates the user's muscles by releasing bio-microcurrent according to the guidance information of the movement correction guidance unit and the exercise skill guidance unit to provide instant feedback.

[0067] Furthermore, the device adjustment module includes a device connection and control unit, a relaxation device 3 adjustment unit and a control command receiving unit;

[0068] The device connection and control unit is connected to the relaxation device 3 to control the operation mode, intensity and parameter settings of the relaxation device 3;

[0069] The relaxation device 3 adjustment unit adjusts the relaxation device 3 according to the user's personalized training plan and training goals to adapt to the user's training goals and athletic ability;

[0070] The control command receiving unit receives the control command sent by the control command sending unit and executes the command to control the operation of the relaxation device 3 .

[0071] Example 2

[0072] A human AI intelligent training and management system, comprising a relaxation device 3 and a training and management system, wherein the training device 1 comprises a training bracelet 2 and a relaxation device 3, wherein the training bracelet 2 has a built-in motion sensor;

[0073] In this embodiment, the relaxation device 3 is an elastic ring belt (such as Figure 7 As shown), the discharge device 3 is worn on the user's limbs and can receive control commands;

[0074] By analyzing the spatial position changes of the relaxation device 3 worn on the user's limbs, the training system can obtain standard values ​​for the user's movement movements. This means that the relaxation device 3 can identify and record the correct posture and movement path when the user performs specific movements. These standard values ​​can be personalized according to the specific physical condition of the user to ensure the appropriate range of motion for the user.

[0075] When the user's limb movement exceeds the standard range, the relaxation device 3 activates a bio-microcurrent to alert the user. This bio-microcurrent is released through the discharge metal sheet in the relaxation device 3, stimulating the user's muscles and reminding the user to pay attention and adjust their movement posture and range of motion. Through continuous correction and assistance, the user can gradually form muscle memory and improve the accuracy and standardization of movement movements.

[0076] The relaxation device 3 analyzes the spatial position changes of the user's limbs to assist the user in correcting and memorizing their movements. By activating bio-microcurrents to provide reminders, the device helps the user gradually achieve the correct movement posture and range of motion, forming muscle memory. With the assistance of the relaxation device 3, the user can improve the accuracy and standardization of their movements.

Claims

1. A human AI intelligent training and management system, characterized by: The invention comprises a training device (1) and a training management system, wherein the training device (1) comprises a training bracelet (2) and a relaxation device (3), wherein the training bracelet (2) has a built-in motion sensor, and the training system is built into the training bracelet (2). The training management system comprises a real-time monitoring module, a data analysis and evaluation module, a personalized training program module, a real-time feedback and guidance module, and an equipment adjustment module, wherein the real-time monitoring module is in data communication with the data analysis and evaluation module and the real-time feedback and guidance module respectively, wherein the data analysis and evaluation module is in data communication with the personalized training program, and wherein the personalized training program is in data communication with the real-time feedback and guidance module; Real-time monitoring module monitors the user's movements and range of motion, including physiological parameters such as heart rate, blood pressure, and blood oxygen saturation, analyzes motion sensor data, monitors the user's range of motion, evaluates the integrity and accuracy of the movement, and detects the user's movement status and range of motion through sensors; The real-time monitoring module includes a motion sensor, a physiological parameter monitoring unit and an action monitoring unit; The motion sensor monitors the user's movements and range of motion; The physiological parameter monitoring unit is used to monitor physiological parameters including heart rate, blood pressure, blood oxygen saturation, etc.; The motion monitoring unit analyzes motion sensor data, monitors the user's motion range, evaluates the integrity and accuracy of the motion, and detects the user's motion state and motion range through sensors; The data analysis and evaluation module processes and analyzes exercise data, including analysis of movement accuracy, movement amplitude, movement speed, and changes in physiological parameters such as heart rate and blood oxygen saturation, to assess the user's exercise load and physical condition. By analyzing exercise data and physiological parameters, the user's exercise load and training intensity are assessed. By analyzing exercise data, the user's sports skill level is assessed, and health status assessment is performed based on the user's health information and physical condition. The personalized training program module divides the training plan into different stages according to the user's training goals and athletic ability, gradually increasing the difficulty and intensity of training. Based on the user's information and goals, a personalized training plan is generated, including training frequency, intensity, duration and exercise type; The real-time feedback and guidance module provides specific movement correction guidance and prompts by analyzing movement data in real time, helping users improve movement execution, and provides relevant movement skills and strategy guidance based on the user's training goals, helping users optimize training effects, and generates control commands based on the user's movement conditions and sends them to the relaxation device (3), controlling the relaxation device (3) to release bio-microcurrent, providing instant feedback to the user, guiding the user to correct incorrect movements or adjust movement posture, or pause movement; The real-time feedback and guidance module includes a movement correction guidance unit, a sports skill guidance unit, a control command sending unit and a real-time feedback unit; The action correction guidance unit provides specific action correction guidance and prompts by analyzing the motion data in real time to help the user improve the execution of the action; The sports skills guidance unit provides relevant sports skills and strategy guidance based on the user's training goals to help the user optimize the training effect; The equipment adjustment module controls the operation mode, intensity and parameter setting of the relaxation device (3), adjusts the relaxation device (3) according to the user's personalized training plan and training goals to adapt to the user's training goals and athletic ability, and executes commands to control the operation of the relaxation device (3).

2. The human AI intelligent training management system according to claim 1, characterized in that: The data analysis and evaluation module includes a motion data analysis unit, a physiological parameter analysis unit, a motion load evaluation unit, a sports skill evaluation unit and a health status evaluation unit; The motion data analysis unit processes and analyzes the motion data, including analysis of movement accuracy, movement amplitude, movement speed, etc.; The physiological parameter analysis unit analyzes changes in physiological parameters, such as changes in heart rate and blood oxygen saturation, to evaluate the user's exercise load and physical condition and generate health information.

3. The human AI intelligent training management system according to claim 2, characterized in that: The exercise load evaluation unit evaluates the user's exercise load and training intensity by analyzing exercise data and physiological parameters to determine whether the user is overtrained or undertrained, and generates a training goal; The sports skill evaluation unit evaluates the user's sports skill level by analyzing the sports data; The health status assessment unit performs health status assessment based on the user's health information and physical condition.

4. The human AI intelligent training management system according to claim 1, characterized in that: The personalized training program module includes a training stage division unit and a training plan generation unit; The training stage division unit divides the training plan into different stages according to the user's training goals and athletic ability, and gradually increases the difficulty and intensity of training; The training plan generating unit generates a personalized training plan according to the user's health information, physical condition, exercise ability and training goals, including training frequency, intensity, duration and exercise type.

5. The human AI intelligent training management system according to claim 1, characterized in that: The control command sending unit generates a control command according to the user's movement conditions and sends the control command to the relaxation device (3); The real-time feedback unit provides instant feedback to the user by controlling the relaxation device (3) to release biological microcurrent, guiding the user to correct wrong movements or adjust exercise posture, or pause exercise.

6. The human AI intelligent training management system according to claim 1, characterized in that: The device adjustment module includes a device connection and control unit, a relaxation device (3) adjustment unit and a control command receiving unit; The device connection and control unit is connected to the relaxation device 3 to control the operation mode, intensity and parameter settings of the relaxation device (3); The relaxation device (3) adjustment unit adjusts the relaxation device (3) according to the user's personalized training plan and training goals to adapt to the user's training goals and athletic ability; The control command receiving unit receives the control command sent by the control command sending unit and executes the command to control the operation of the relaxation device (3).

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