CN115100746A - Human body fitness training management system based on artificial intelligence - Google Patents
Human body fitness training management system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a human body fitness training management system based on artificial intelligence, which relates to the field of human body fitness training management and has the technical scheme that the human body fitness training management system comprises a host control module, wherein the host control module is used for receiving and processing data transmission of the whole system, a data collection module establishes a folder by registering and numbering used human body data, and a body type analysis module is used for recording and drawing actions of the body type of a human body moving in an initial natural state into a three-dimensional curve body typeThe state diagram is used for extracting the video key frame number of the standard motion state action amplitude output by the parameter analysis unit, the wearable sensing module is used for monitoring the body-building motion data of the client in real time, and the judgment and comparison module is used for judging the standard motion state action amplitude X 0 Recording data X with practical training motion state action amplitude i The display module displays the standard action input by the client and the movement action of the training personnel during continuous follow-up training, so that the training effect of the training personnel is improved conveniently.
Description
Technical Field
The invention relates to the field of human body fitness training management, in particular to a human body fitness training management system based on artificial intelligence.
Background
Along with the improvement of scientific technology and the improvement of human living standard, people pay more and more attention to the improvement and health of self body quality, most people utilize a body-building mode to improve the body quality and keep good body state, most of the sports apparatus on the market are purely mechanical, a novice sports hand can not generate good sports effect and is easy to damage self under the condition of lacking of guidance, therefore, in order to make the body-building apparatus fit the requirements of users better, the design of the existing body-building apparatus is more prone to intellectualization, as people and people have inevitable difference in body function and quality, and in order to look over the effect after body-building more intuitively, the body-building state of the human body needs to be analyzed and recorded regularly, and the action is easy to generate error when doing follow-up exercise, so that the sports effect is weakened, but the existing body-building apparatus lacks the function, therefore, innovative designs for the prior art are needed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a human body fitness training management system based on artificial intelligence.
In order to achieve the purpose, the invention provides the following technical scheme:
human body-building training management system based on artificial intelligence, its characterized in that, human body-building training management system based on artificial intelligence includes: the body shape analysis module, the wearing induction module, the judgment and comparison module and the display module are arranged in the main machine control module;
the host control module is used for receiving and processing data transmission of the whole system and sending control commands to other modules;
the data collection module comprises a first human body data collection unit, a data storage unit and a data authority management unit, the first human body data collection unit registers and numbers data of a used human body, the data collected by the first human body data collection unit is independently stored in a single group after a folder is established by the data storage unit, and information safety authority is established for the folder by the data authority management unit, so that personal information is prevented from being leaked;
the body type analysis module comprises a first image acquisition unit, a parameter analysis guidance unit and a second image acquisition unit, wherein the first image acquisition unit is used for recording the movement of the body type of the human body in an initial natural state and drawing a three-dimensional curve attitude diagram, the parameter analysis guidance unit is combined with a client folder in the data storage unit and carries out standard movement of the body state movement amplitude X according to the body type of the human body at the moment of the client 0 The second image acquisition unit is used for extracting the number of video key frames of the standard motion state action amplitude output by the parameter analysis unit;
the wearable sensing module comprises a motion data sensing unit, and the motion data sensing unit is used for monitoring body-building motion data of a client in real time;
the judgment and comparison module comprises a second human body data acquisition unit, an action recognition unit and an output unit, the second human body data acquisition unit is used for shooting and recording video of the client and recording practical training body state action amplitude of the client during continuous body-building training as data X i Training the motion amplitude X of the motion state i The signal is transmitted to the action recognition unit, and the action recognition unit carries out practical training on the action amplitude X of the physical state of the practical training motion i The output unit is used for judging the action amplitude X of the standard motion state 0 Recording data X with motion amplitude of practical training sports state i The overlapping area S between them is calculated ifIf the output is yes, a green safety signal is output, if yes, a green safety signal is outputIf not, outputting a red warning signal and outputting the standard motion state motion amplitude X of the false motion 0 The video is repeatedly played, and the practical training sports body dynamic during the continuous body-building training of the client at the moment is realizedWrite data X as amplitude i+1 Is mixing X i+1 Conveying to an output unit for re-identification and judgment;
and the display module comprises a display screen, and standard actions recorded by the trainee and motion actions collected by the body type analysis module when the trainee continuously follows the trainee are displayed on the display screen.
Preferably, the data collection module is electrically connected with the host control module, the first human body data collection unit registers and numbers the name, sex, age, height, weight, body fat, blood pressure and heartbeat data of the person being trained, and establishes an independent data folder for storing the data in the data storage unit, so that the single-line guidance of the client is realized conveniently, the data authority management unit comprises an intelligent identification instrument, and the intelligent identification instrument is used for the authority management of the client, so that the anti-leakage effect of the data of the person being trained is realized.
Preferably, the body type of the host control module is electrically connected with the body type analysis module, the first image acquisition unit comprises a calculator, the calculator draws the muscle and fat distribution of a client according to a folder in the first human body data acquisition unit, the three-dimensional curve attitude diagram of the initial human body muscle and fat of a training person before training is established, the later period of convenience is compared with the body state image after training, and the visual feeling of the training effect is realized.
Preferably, the parameter analysis guidance unit in the body type analysis module automatically calculates and generates standard motion state and motion amplitude X which can be reached by the client within a certain time according to a body data folder of the client in the data storage unit and coaching standard motion demonstration data in the host control module 0 The practical training personnel act according to the standard motion state and the action amplitude X 0 The resulting image is subjected to a contrasting repetitive motion.
Preferably, host computer control module size and wearing response module electric connection, wearing response module and including motion data sensing unit, motion data sensing unit includes intelligent wearing equipment, and intelligence wearing equipment real-time supervision's real-time training personnel physiological health data include perspiration volume, body surface temperature, rhythm of the heart, respiratory frequency to send host computer control module through wireless data transmission mode.
Preferably, host computer control module size and display module electric connection, display module include display screen and voice broadcast instrument, show the standard action of typing into and the contrast picture of the motion action when training personnel are continuous with training on the display screen to show green safety signal and red early warning signal, the voice broadcast instrument is raised green signal, and the voice broadcast instrument carries out voice prompt and encourages to the action error point in the red signal.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, single-group independent labeling and storage of practical training personnel are realized through the first human body data acquisition unit in the data collection module, the data authority management unit establishes information safety capability to prevent personal information leakage and protect the information safety of the practical training personnel, the first image acquisition unit establishes the optimal calculation of a three-dimensional curve attitude diagram and a parameter analysis guidance unit on the standard human body movement attitude in a human body natural state, the training effect is effectively improved, and the human body is prevented from being damaged in training; through action comparison between the second image acquisition unit and the second human body data acquisition unit, as the followed video is recorded by the practical training personnel, the feeling of liveliness brought by guidance of other people is reduced in the following training process, the practical training personnel can get on the hands quickly and enter the state quickly and efficiently, and the training effect of the practical training personnel can be improved conveniently; error actions in the follow-up training process of the practical training personnel are corrected through the judgment comparison module and the display module, and the practical training effect is improved.
Drawings
Fig. 1 is a schematic block diagram of a human body fitness training management system based on artificial intelligence according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used herein is for the purpose of describing embodiments and is not intended to be limiting and/or limiting of the present disclosure; it should be noted that the singular forms "a," "an," and "the" include the plural forms as well, unless the context clearly indicates otherwise; also, although the terms first, second, etc. may be used herein to describe various elements, the elements are not limited by these terms, which are only used to distinguish one element from another.
Example 1
Referring to fig. 1, a human body fitness training management system based on artificial intelligence according to an embodiment of the present invention is shown. In the embodiment, the information security capability is established through the data authority management unit, personal information leakage is prevented, the information security of practical training personnel is protected, the first image acquisition unit is used for recording the movement of the human body shape in the initial natural state to draw a three-dimensional curve attitude diagram, the parameter analysis guidance unit is combined with a client folder in the data storage unit, and standard movement posture movement amplitude X is carried out according to the human body shape of the client at the moment 0 The optimal calculation effectively improves the training effect and prevents the human body from being damaged in the training process; the second image acquisition unit extracts the video key frame number through the standard motion state action amplitude output by the parameter analysis unit and records the video key frame number with the practical motion state action amplitude in the second human body data acquisition unit as data X i Compared with the prior art, the video to be followed is recorded by the practical training personnel, so that the feeling of liveliness brought by guidance of others is reduced in the following training process, the quick-acting and quick-efficient entering state of the practical training personnel is facilitated, and the training effect of the practical training personnel is improved conveniently.
The host control module is used for receiving and processing data transmission of the whole system, sending control commands to other modules, standing a practical training person in front of a display screen in the display module, starting the host control module, transmitting a starting signal to the data collection module, and sending the data collection module360-degree training is carried out on a practical training person through a camera and a scanner which are arranged on a display screen 0 And (4) scanning comprehensively.
The data collection module comprises a first human body data collection unit, a data storage unit and a data authority management unit, the data collection module is electrically connected with the host control module, the first human body data collection unit is used for carrying out registration and numbering on data of a used human body and establishing a folder through the data storage unit and then independently storing the data in a single group, the first human body data collection unit is used for collecting, integrating and storing scanning data of practical training personnel through a camera and a scanner on a display screen, so that the data of the practical training personnel, such as name, sex, age, height, weight, body fat, blood pressure, heartbeat and the like, are collected in the folder of the first human body data collection unit, the first human body data collection unit is used for carrying out registration and numbering on the practical training personnel and establishing an independent data folder in the practical training and storing the data folder in the data storage unit, and the data of each person in the data storage unit is independently stored, be convenient for realize training personnel single line and guide, data authority management unit includes intelligent recognition instrument, intelligent recognition instrument is used for training personnel's authority management, make training personnel when beginning training or transferring own training data at every turn, carry out the switch to the authority of oneself through facial recognition or fingerprint identification etc. realize training personnel's data prevent leaking the effect and establish information security ability through data authority management unit, prevent that personal information from revealing.
The body type analysis module comprises a first image acquisition unit, a parameter analysis guidance unit and a second image acquisition unit, the body type of the host control module is electrically connected with the body type analysis module, the first image acquisition unit is used for recording the motion of the body type of the human body in an initial natural state and drawing a three-dimensional curve attitude diagram, the first image acquisition unit is used for carrying out the three-dimensional curve attitude diagram on the motion of the body type of the human body in the initial natural state, the initial body state image of training personnel when training is not started is established in the help, the later period is convenient to compare with the trained body state image, and the visual feeling of the training effect is realized.
Parameter(s)The analysis guidance unit combines the client folder in the data storage unit and carries out standard movement posture action amplitude X according to the body shape of the client at the moment 0 The second image acquisition unit is used for extracting the video key frame number of the standard motion body state action amplitude output by the parameter analysis unit, and recording images of the target motion body state of the real-time human body, the number analysis guidance unit is used for demonstrating data according to the body data of the real training personnel in the data storage unit and the standard action of a coach in the host control module, the parameter analysis guidance unit is used for combining a client folder in the data storage unit and carrying out standard motion body state action amplitude X according to the body type of the client at the moment 0 The second image acquisition unit is used for extracting the video key frame number of the standard motion attitude motion amplitude output by the parameter analysis unit, namely, recording the images, generating the standard motion during continuous practical training motion, comparing the motion in the second image acquisition unit and the second human body data acquisition unit, and reducing the sense of sparseness brought by guidance of others in the following training process because the video to be followed is recorded by the practical training personnel, thereby being beneficial to the rapid starting of the practical training personnel and the rapid and efficient entering state of the practical training personnel and being convenient for improving the training effect of the practical training personnel.
Wearing response module and including motion data sensing unit, motion data sensing unit is used for real-time supervision at training personnel's body-building motion data, motion data sensing unit includes intelligent wearing equipment, intelligence wearing equipment real-time supervision's real standard personnel physiological health data include the volume of sweating, body surface temperature, the rhythm of the heart, respiratory frequency etc. and give host control module through the wireless data transmission mode, host control module carries out analysis processes to wearing the signal that response module transmitted back, sense when real standard personnel reach the motion limit when host control module, host control module control entire system closes, make real standard personnel stop the motion.
The judgment and comparison module comprises a second human body data acquisition unit, an action recognition unit and an output unit, and the second human body data acquisition unit is used for passengersThe user makes a video recording and records the practical training motion state and motion amplitude of the user during continuous fitness training as data X i Training the motion amplitude X of the motion state i The signal is transmitted to the action recognition unit, and the action recognition unit carries out practical training on the action amplitude X of the physical state of the practical training motion i The motion recognition unit recognizes and compares key frames (key motions) in the video images collected by the second human body data collection unit, extracts motions with errors, identifies key points of the motions with errors, and transmits signals to the output unit, and the output unit is used for judging the motion amplitude X of the standard motion body state 0 Recording data X with practical training motion state action amplitude i The overlapping area S between them is calculated ifIf the output is yes, a green safety signal is output, if yes, a green safety signal is outputIf not, outputting a red warning signal and outputting the standard motion state motion amplitude X of the false motion 0 The video is repeatedly played, and the practical training motion state action amplitude of the client during continuous body-building training at the moment is recorded as data X i+1 Is mixing X i+1 And the information is conveyed to an output unit for re-identification and judgment, so that the trainee can perform follow-up training again.
Display module, display module includes the display screen, the standard action of collecting when training personnel types and the motion action when training personnel is with training in succession in the analysis module of demonstration size on the display screen, display module includes display screen and voice broadcast instrument, show the contrast picture of the standard action of type and the motion action when training personnel is with training in succession on the display screen, and show green safety signal and red early warning signal, the voice broadcast instrument is raised green signal table, and the voice broadcast instrument carries out voice prompt and encourages to the action error point in the red signal.
Example 2
Referring to fig. 1, in the human body fitness training management system based on artificial intelligence, the working process is as follows:
and S1, starting the host control module.
And S2, the host control module acquires the current information data of the trainee through the data collection module to establish a folder, stores the folder in the first human body data acquisition unit and establishes an independent personal privacy database.
And S3, the host control module obtains the motion of the trainee moving in the current initial natural state through the body type analysis module, records the video and draws a three-dimensional curve attitude diagram, and stores the three-dimensional curve attitude diagram in the first image acquisition unit.
S4, the host control module carries out standard movement posture action amplitude X on the human body posture of the client through the parameter analysis guiding unit in the body posture analysis module 0 And storing the data in the data storage unit.
S5, the host control module records the action amplitude of the practical training exercise state of the client as data X through the second human body data acquisition unit i Recording is performed and transmitted to the output unit.
S6, connecting the wearable sensing module with training personnel, monitoring the motion process through the wearable sensing module by the host control module, when the host control module senses that the practical training personnel reach the motion limit, closing the whole system by the host control module to stop the motion of the practical training personnel, and when the host control module senses that the practical training personnel do not reach the motion limit, continuing the motion.
S7, judging standard motion state action amplitude X by the output unit 0 Recording data X with practical training motion state action amplitude i The overlapping area S between them, ifThe output is ifAnd the output is no.
S8, repeating the steps S6 and S7.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (6)
1. Human body-building training management system based on artificial intelligence, its characterized in that, human body-building training management system based on artificial intelligence includes: the body shape analysis module is connected with the wearable sensing module through the host control module;
the host control module is used for receiving and processing data transmission of the whole system and sending control commands to other modules;
the data collection module comprises a first human body data collection unit, a data storage unit and a data authority management unit, the first human body data collection unit registers and numbers the data of the used human body, the data collected by the first human body data collection unit is independently stored in a single group after a folder is established by the data storage unit, and information safety capability is established for the folder by the data authority management unit, so that personal information is prevented from being leaked;
the body type analysis module comprises a first image acquisition unit, a parameter analysis guidance unit and a second image acquisition unit, wherein the first image acquisition unit is used for recording the movement of the body type of the human body in an initial natural state and drawing a three-dimensional curve attitude diagram, the parameter analysis guidance unit is combined with a client folder in the data storage unit and carries out standard movement of the body state movement amplitude X according to the body type of the human body at the moment of the client 0 The second image acquisition unit is used for extracting the number of video key frames of the standard motion state action amplitude output by the parameter analysis unit;
the wearable sensing module comprises a motion data sensing unit, and the motion data sensing unit is used for monitoring body-building motion data of a client in real time;
the judgment and comparison module comprises a second human body data acquisition unit, an action recognition unit and an output unit, the second human body data acquisition unit is used for shooting and recording a video of the client, and recording the practical training motion state action amplitude of the client during continuous fitness training as data X i Training the motion amplitude X of the motion state i The signal is transmitted to the action recognition unit, and the action recognition unit carries out the practical training on the action amplitude X of the physical state of the moving object i The output unit is used for judging the action amplitude X of the standard motion state 0 Recording data X with motion amplitude of practical training sports state i The overlapping area S between them is calculated ifIf the output is yes, a green safety signal is output, if yes, a green safety signal is outputIf not, outputting a red warning signal and outputting the standard motion state motion amplitude X of the false motion 0 The video is repeatedly played, and the practical training motion state action amplitude of the client during continuous body-building training at the moment is recorded as data X i+1 Is mixing X i+1 Conveying to an output unit for re-identification and judgment;
and the display module comprises a display screen, and standard actions recorded by the trainee and motion actions collected by the body type analysis module when the trainee continuously follows the trainee are displayed on the display screen.
2. The human body fitness training management system based on artificial intelligence of claim 1, wherein the data collection module is electrically connected with the host control module, the first human body data collection unit registers and numbers the name, sex, age, height, weight, body fat, blood pressure and heartbeat data of a person being trained, and establishes an independent data folder for storing the data in the data storage unit, so that single-line guidance of a client is facilitated, the data right management unit comprises an intelligent recognition instrument, and the intelligent recognition instrument is used for the right management of the client, so that a leakage prevention effect on the data of the person being trained is achieved.
3. The artificial intelligence based human body fitness training management system according to claim 2, wherein the host control module body type is electrically connected with the body type analysis module, the first image acquisition unit comprises a calculator, the calculator draws the muscle and fat distribution of a client according to a folder in the first human body data acquisition unit, helps to establish a three-dimensional curve posture diagram of the initial muscle and fat of a training person when training is not started, facilitates comparison between a later period and a body state image after training, and realizes visual perception of a training effect.
4. The system according to claim 3, wherein the parameter analysis guidance unit of the body shape analysis module demonstrates data according to the body data folder of the client in the data storage unit and the standard motion of the coach in the host control module, and automatically calculates and generates the standard motion body state motion amplitude X that the client can reach within a certain time 0 The practical training personnel act according to the standard motion state and the action amplitude X 0 The resulting image is subjected to a contrasting repetitive motion.
5. The human body fitness training management system based on artificial intelligence of claim 1, wherein the body type of the host control module is electrically connected with the wearable sensing module, the wearable sensing module comprises a motion data sensing unit, the motion data sensing unit comprises an intelligent wearable device, and the physiological health data of the practical training personnel monitored in real time by the intelligent wearable device comprise perspiration amount, body surface temperature, heart rate and respiratory rate, and are transmitted to the host control module in a wireless data transmission mode.
6. The human body fitness training management system based on artificial intelligence of claim 1, wherein the host computer control module body type is electrically connected with the display module, the display module comprises a display screen and a voice broadcasting instrument, a contrast picture of recorded standard actions and motion actions of trainees during continuous follow-up training is displayed on the display screen, green safety signals and red early warning signals are displayed, the voice broadcasting instrument is used for showing green signals, and the voice broadcasting instrument is used for carrying out voice prompt and encouragement on action error points in the red signals.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017156835A1 (en) * | 2016-03-18 | 2017-09-21 | 深圳大学 | Smart method and system for body building posture identification, assessment, warning and intensity estimation |
CN110164525A (en) * | 2019-05-09 | 2019-08-23 | 吉林体育学院 | A kind of physical health management system and its application method |
CN110289072A (en) * | 2019-05-10 | 2019-09-27 | 咪咕互动娱乐有限公司 | Body-building scheme generation method and device, electronic equipment and readable storage medium |
CN112386882A (en) * | 2020-10-14 | 2021-02-23 | 珠海格力电器股份有限公司 | Virtual motion system, method, computer device, and computer-readable storage medium |
CN113627409A (en) * | 2021-10-13 | 2021-11-09 | 南通力人健身器材有限公司 | Body-building action recognition monitoring method and system |
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017156835A1 (en) * | 2016-03-18 | 2017-09-21 | 深圳大学 | Smart method and system for body building posture identification, assessment, warning and intensity estimation |
CN110164525A (en) * | 2019-05-09 | 2019-08-23 | 吉林体育学院 | A kind of physical health management system and its application method |
CN110289072A (en) * | 2019-05-10 | 2019-09-27 | 咪咕互动娱乐有限公司 | Body-building scheme generation method and device, electronic equipment and readable storage medium |
CN112386882A (en) * | 2020-10-14 | 2021-02-23 | 珠海格力电器股份有限公司 | Virtual motion system, method, computer device, and computer-readable storage medium |
CN113627409A (en) * | 2021-10-13 | 2021-11-09 | 南通力人健身器材有限公司 | Body-building action recognition monitoring method and system |
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