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CN113694460A - AI heart rate motion system - Google Patents

AI heart rate motion system
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Publication number
CN113694460A
CN113694460ACN202010386083.8ACN202010386083ACN113694460ACN 113694460 ACN113694460 ACN 113694460ACN 202010386083 ACN202010386083 ACN 202010386083ACN 113694460 ACN113694460 ACN 113694460A
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China
Prior art keywords
heart rate
hardware
exercise
algorithm module
wireless communication
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Pending
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CN202010386083.8A
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Chinese (zh)
Inventor
潘岩君
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Bokang Technology Co ltd
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Bokang Technology Co ltd
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Priority to CN202010386083.8ApriorityCriticalpatent/CN113694460A/en
Publication of CN113694460ApublicationCriticalpatent/CN113694460A/en
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Abstract

The invention discloses an AI heart rate exercise system, which comprises: first hardware for carrying an AI heart rate exercise system is integrated, wherein the first hardware is a mobile phone or a treadmill, a body-building vehicle, a dynamic bicycle, a double-oar rowing machine, an elliptical machine, a strength trainer and the like; the second hardware with wireless communication capability for collecting human body sign states is any one or two of a human body scale and a heart rate watch; a posture acquisition probe; expression acquisition probe. The invention takes heart rate as the basis of exercise and adjusts the exercise intensity value output by hardware equipment through a software program taking AI as the core. The body sign state is acquired in multiple dimensions, the sports science is used as the basis of sports, and the user is informed of the self sports state and the correct posture through real-time voice and image guidance and prompt in the sports, so that the blindness of the sports can be avoided. Human-computer interaction is realized through recognition based on physical sign states, motion body states, expressions and abnormal heart rates, and accidental injury caused by motion is prevented.

Description

AI heart rate motion system
Technical Field
The invention relates to a motion control system, in particular to an AI heart rate motion system.
Background
Exercise heart rate and exercise intensity are in direct proportion, and according to the exercise intensity range that the heart rate interval corresponds, can divide exercise purpose or effect into the several stages of heat up relaxation, fat burning, heart lung reinforce, endurance reinforce, anaerobic limit to have obtained wide application in outdoor exercises class APP. When the user carries out outdoor exercises or uses indoor sport equipment or equipment to take exercise, can be according to self appeal, through the control to motion intensity, for example speed in running, the regulation to bicycle derailleur (resistance) in riding, combine the motion duration, reach anticipated exercise purpose or effect. But the exercise purpose or effect intended by the user does not necessarily match his own physical condition and the predetermined exercise duration is not necessarily reasonable. Too low intensity can not achieve the expected effect, too high intensity has the hidden danger of sports injury, and users are easy to give up the persistence of sports due to fatigue and discomfort. At this time, a set of scientific motion guide is needed to customize and guide the user to move gradually, so that the motion safety is ensured, and the motion effect is improved. Therefore, developing an AI heart rate exercise system is becoming an urgent problem for those skilled in the art.
Disclosure of Invention
The invention provides an AI heart rate exercise system for solving the defects.
The above object of the present invention is achieved by the following technical means: an AI heart rate exercise system comprising:
integrating first hardware carrying an AI heart rate exercise system, wherein the first hardware is a mobile phone or a treadmill, an exercise bicycle, a spinning bike, a double-oar rowing machine, an elliptical machine, a strength trainer and the like; when the first hardware is a mobile phone, the treadmill, the exercise bicycle, the spinning bicycle, the double-oar rowing machine, the elliptical machine, the strength trainer and the like have wireless communication capacity, are provided with wireless communication modules, and are in wireless communication with the mobile phone;
the second hardware with wireless communication capability for collecting human body sign states is any one or two of a human body scale and a heart rate watch, and is in wireless communication with the first hardware;
the body state acquisition probe is in wired or wireless communication with the first hardware;
the expression acquisition probe is in wired or wireless communication with the first hardware.
Further, the AI heart rate exercise system comprises a weight algorithm module, a heart rate algorithm module, an AI algorithm module, a posture algorithm module, an expression algorithm module and a heart rate exercise intensity standard model, wherein the weight algorithm module, the heart rate algorithm module, the posture algorithm module and the expression algorithm module collect physical sign state information of a user through a body scale, a heart rate watch, a posture acquisition probe and an expression acquisition probe, compare the physical sign state information with the heart rate exercise intensity standard model through the AI algorithm module, output a control instruction according to priority, and timely change a mechanical output value through voice output of sports equipment or equipment.
An AI heart rate exercise system (hereinafter referred to as the system) utilizes the big data analysis capability of AI to evaluate the exercise capability of the user, such as the fat and thin degree, the heart capability, the basic activity, the exercise frequency, the exercise consumption, the exercise intensity, etc., by collecting the state information of the physical signs of the user (such as sex, age, height, weight, waist circumference, heart rate, step number, etc.). The physical state of the user in motion is collected and analyzed in real time, so that the motion of the user is normalized, and the expression of the user is collected and analyzed in real time to analyze the mood index of the user in motion.
Wherein, the information collection of weight, rhythm of the heart is obtained through joining human body scale, the rhythm of the heart wrist-watch that possess wireless communication ability of this system. The information collection of the posture and the expression is obtained by the acquisition probe.
When a user uses hardware (such as a running machine, an exercise bike, a spinning bike, a double-oar rowing machine, an elliptical machine, a strength trainer and the like) matched with the system to carry out relevant exercises, the system can interact with the hardware through wireless communication, and besides data information generated by the hardware is obtained, the system can also actively adjust the speed, the resistance and the like of the hardware.
The system can continuously recommend and execute the latest motion scheme matched with the current physical sign state and the motion ability of the user by utilizing the physical sign state information of the user and the historical motion data formed before through big data analysis and self-learning ability, and guide the user to move in real time during the motion.
Compared with the prior art, the invention has the advantages that:
(1) and adjusting the exercise intensity value output by the hardware equipment by taking the heart rate as an exercise basis through a software program taking the AI as a core.
(2) The body sign state is acquired in multiple dimensions, the sports science is used as the basis of sports, and the self sports state and the correct posture of the user are informed through real-time voice and image guidance and prompt in the sports, so that the blindness of the sports can be avoided.
(3) Human-computer interaction is realized through recognition based on physical sign states, motion body states, expressions and abnormal heart rates, and accidental injury caused by motion is prevented.
Drawings
Fig. 1 is a schematic structural diagram of the first hardware of the present invention in the form of an exercise apparatus.
Fig. 2 is a schematic structural diagram of the first hardware in the present invention.
Fig. 3 is a system flow diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1 to 3, an AI heart rate exercise system includes:
integrating first hardware carrying an AI heart rate exercise system, wherein the first hardware is a mobile phone or a treadmill, an exercise bicycle, a spinning bike, a double-oar rowing machine, an elliptical machine, a strength trainer and the like; as shown in fig. 2, when the first hardware is a mobile phone, the treadmill, the exercise bicycle, the spinning bike, the double-oar rowing machine, the elliptical machine, the strength trainer, etc. have wireless communication capability, are provided with a wireless communication module, and wirelessly communicate with the mobile phone;
the second hardware with wireless communication capability for collecting human body sign states is any one or two of a human body scale and a heart rate watch, and is in wireless communication with the first hardware;
the body state acquisition probe is in wired or wireless communication with the first hardware;
the expression acquisition probe is in wired or wireless communication with the first hardware.
Further, the AI heart rate exercise system comprises a weight algorithm module, a heart rate algorithm module, an AI algorithm module, a posture algorithm module, an expression algorithm module and a heart rate exercise intensity standard model, wherein the weight algorithm module, the heart rate algorithm module, the posture algorithm module and the expression algorithm module collect physical sign state information of a user through a body scale, a heart rate watch, a posture acquisition probe and an expression acquisition probe, compare the physical sign state information with the heart rate exercise intensity standard model through the AI algorithm module, output a control instruction according to priority, and timely change a mechanical output value through voice output of sports equipment or equipment.
An AI heart rate exercise system (hereinafter referred to as the system) utilizes the big data analysis capability of AI to evaluate the exercise capability of the user, such as the fat and thin degree, the heart capability, the basic activity, the exercise frequency, the exercise consumption, the exercise intensity, etc., by collecting the state information of the physical signs of the user (such as sex, age, height, weight, waist circumference, heart rate, step number, etc.). The physical state of the user in motion is collected and analyzed in real time, so that the motion of the user is normalized, and the expression of the user is collected and analyzed in real time to analyze the mood index of the user in motion.
Wherein, the information collection of weight, rhythm of the heart is obtained through joining human body scale, the rhythm of the heart wrist-watch that possess wireless communication ability of this system. The information collection of the posture and the expression is obtained by the acquisition probe.
When a user uses hardware (such as a running machine, an exercise bike, a spinning bike, a double-oar rowing machine, an elliptical machine, a strength trainer and the like) matched with the system to carry out relevant exercises, the system can interact with the hardware through wireless communication, and besides data information generated by the hardware is obtained, the system can also actively adjust the speed, the resistance and the like of the hardware.
The system can continuously recommend and execute the latest motion scheme matched with the current physical sign state and the motion ability of the user by utilizing the physical sign state information of the user and the historical motion data formed before through big data analysis and self-learning ability, and guide the user to move in real time during the motion.
The AI heart rate exercise system combines exercise intensity control, posture and expression recognition based on heart rate with big data analysis capability and self-learning capability of AI, solves the dynamic matching of the change of physical sign state of a user with exercise purpose or effect, exercise intensity, single exercise duration, exercise frequency and multilevel exercise plan, standardizes exercise actions and provides real-time guidance for the user in exercise.
For example: a heavily obese female user, using a treadmill with an AI heart rate exercise system, equipped with a display and speaker, when she presets a running session of 10 minutes, or adjusts the speed to 16 km/h, the treadmill alerts the user by voice and images: this speed is very dangerous, if at all. According to the physical sign states, a fat burning exercise mode with the average speed of 5 kilometers per hour and the duration of 30 minutes is customized for a user, the user can run slowly or walk quickly, and the user wants to exercise pleasantly and safely. When the heart rate value of the user is not in the target interval in the exercise, the running speed of the treadmill can be reduced by the system when the heart rate value of the user is out of the target interval, when the heart rate value of the user is not in the target interval, the running speed of the treadmill can be increased by the system when the heart rate value of the user is not in the target interval, the speed is adjusted to match the heart rate interval corresponding to the exercise intensity, when the heart rate of the user is sharply reduced or increased, the treadmill steadily decelerates until the treadmill stops, and the safety of the user is protected.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (2)

2. AI heart rate exercise system according to claim 1, characterized in that: the AI heart rate exercise system comprises a weight algorithm module, a heart rate algorithm module, an AI algorithm module, a posture algorithm module, an expression algorithm module and a heart rate exercise intensity standard model, wherein the weight algorithm module, the heart rate algorithm module, the posture algorithm module and the expression algorithm module collect physical sign state information of a user through a body scale, a heart rate watch, a posture acquisition probe and an expression acquisition probe, compare the physical sign state information with the heart rate exercise intensity standard model through the AI algorithm module, output a control instruction according to priority, inform the user through voice output of sports equipment or equipment, and change a mechanical output value of the user timely.
CN202010386083.8A2020-05-092020-05-09AI heart rate motion systemPendingCN113694460A (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN202010386083.8ACN113694460A (en)2020-05-092020-05-09AI heart rate motion system

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN202010386083.8ACN113694460A (en)2020-05-092020-05-09AI heart rate motion system

Publications (1)

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CN113694460Atrue CN113694460A (en)2021-11-26

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN114444954A (en)*2022-01-302022-05-06中航创世机器人(西安)有限公司Physical training assessment method and system and intelligent strength training system

Citations (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20150196805A1 (en)*2014-01-142015-07-16Zsolutionz, LLCFuzzy logic-based evaluation and feedback of exercise performance
CN108434707A (en)*2018-02-062018-08-24苏州东巍网络科技有限公司A kind of self-help body-building apparatus material uses system and method
CN110464356A (en)*2019-08-132019-11-19马佳鑫A kind of locomitivity integrated monitoring and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20150196805A1 (en)*2014-01-142015-07-16Zsolutionz, LLCFuzzy logic-based evaluation and feedback of exercise performance
CN108434707A (en)*2018-02-062018-08-24苏州东巍网络科技有限公司A kind of self-help body-building apparatus material uses system and method
CN110464356A (en)*2019-08-132019-11-19马佳鑫A kind of locomitivity integrated monitoring and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN114444954A (en)*2022-01-302022-05-06中航创世机器人(西安)有限公司Physical training assessment method and system and intelligent strength training system

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