CN114171155A - Wisdom physical training guidance system - Google Patents
Wisdom physical training guidance system Download PDFInfo
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- CN114171155A CN114171155A CN202111364612.5A CN202111364612A CN114171155A CN 114171155 A CN114171155 A CN 114171155A CN 202111364612 A CN202111364612 A CN 202111364612A CN 114171155 A CN114171155 A CN 114171155A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention provides an intelligent physical exercise guidance system, and relates to the field of physical health. An intelligent physical exercise guidance system comprising: the information acquisition module is used for acquiring the motion data of the exerciser and the personal health data of the user in real time; the data transmission module is used for transmitting each item of data acquired by the information acquisition module to the network layer in a wired and/or wireless mode; the data analysis module is used for carrying out data analysis by acquiring the preprocessed movement data and physiological health data; and the course recommendation output module is used for sending health evaluation information and a corresponding exercise guidance plan to the course recommendation output module according to the obtained exercise data such as the health information of the exerciser, the exercise mode and the like and the current physical health value. The system can collect the motion and physiological indexes of the exerciser in real time, give motion feedback in time and guide the exerciser to scientifically and effectively complete the physical exercise plan.
Description
Technical Field
The invention relates to the field of physical fitness, in particular to an intelligent physical exercise guidance system.
Background
Physical exercise equipment is a general term for various instruments, equipment and supplies used by exercisers. The use of good physical exercise equipment can help exercisers to better achieve the exercise goal, and the physical exercise equipment can help people to more effectively acquire health and embody the final value of the physical exercise equipment. In modern society, along with the progress of science and technology and the improvement of the living standard of human beings, the attention of people to health is higher and higher. In order to keep healthy, people adopt physical exercise to strengthen physique on one hand, and on the other hand, people can learn about their own physical health conditions by performing physical examination regularly. However, at present, the pace of life is accelerated, the tasks of work, study and the like are increasingly heavy, and meanwhile, the operation process is complicated and a large amount of time cost is needed to be spent when people go to a hospital specially for physical examination, so that the whole time is difficult to be extruded in daily life for the hospital to carry out normalized health monitoring and evaluation, and the adoption of exercise for promoting health becomes the optimal choice for people. However, the exercise itself is risky, and since there are great individual differences in physical functions, quality, nutrition, etc., many times, improper exercise will adversely affect or even damage the health. Therefore, the selection of exercise items, exercise modes and exercise loads should be different from person to person, and different exercise contents are selected according to the age characteristics, health conditions and exercise goals of different individuals, so that the exercise and the physical conditions of the individuals are matched with each other.
Although the way of physical exercise is continuously improving, there is a problem that has not been solved, namely: how do exercisers who do not have a lot of physical expertise get timely and scientific targeted guidance during exercise? Meanwhile, the poor exercise effect and even the cases of exercise injuries are inexistent due to the reasons of the uncomfortable selection of the sports exercise process items, the improper control of the exercise intensity, the unreasonable exercise duration and the like. A method and a system are urgently needed, which not only can acquire data such as a user motion mode, motion intensity, motion density and the like in real time, but also can monitor various indexes of the user in the motion process in real time, give timely and scientific guidance and ensure that the user spends the least time to obtain the best exercise benefit.
Disclosure of Invention
The invention aims to provide an intelligent physical exercise guidance system which can be used for designing a set of intelligent exercise guidance system and a method based on an exercise plan, intelligent cloud computing and the like, collecting real-time data and indexes of an exerciser in the exercise process in real time based on the existing exercise plan data of a user, giving exercise feedback in time and guiding the exerciser to efficiently complete the physical exercise plan.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an intelligent physical exercise guidance system, which includes an information acquisition module, configured to acquire exercise data of an exerciser and personal health data thereof in real time; the data transmission module is used for transmitting all the data acquired by the information acquisition module to the network layer in a wired and/or wireless mode, and the network layer preprocesses all the acquired information and then transmits the information to the data analysis module in a wired and/or wireless mode; the data analysis module is used for carrying out data analysis by acquiring the preprocessed movement data and physiological health data and matching a movement guidance plan in the database according to a data analysis result; and the course recommendation output module is used for evaluating the current health value of the user according to the obtained corresponding exercise guidance plan result and the health information of the exerciser and sending the health information and the corresponding exercise guidance plan to the user.
In some embodiments of the present invention, the information collecting module further includes: and the data synchronization submodule is used for establishing user information corresponding to the association by wearing the intelligent wearable equipment, and wirelessly connecting the currently worn intelligent sports equipment with the network layer for data information synchronization.
In some embodiments of the present invention, the information collecting module further includes: and the movement data submodule is used for acquiring real-time pace, total movement time, total steps, total distance, effective movement time, effective steps, effective distance, highest pace, lowest pace, average pace, real-time heart rate, highest heart rate, lowest heart rate, average heart rate and total calories.
In some embodiments of the present invention, the data transmission module further includes: and the data authentication submodule is used for encrypting the received motion data and the personal health data of the user and screening and filtering abnormal data.
In some embodiments of the present invention, the data analysis module further includes: and the computing submodule is used for operating an intelligent analysis algorithm of the physical exercise, analyzing and computing the continuous image sequence of the physical exercise and obtaining the limb movement data.
In some embodiments of the present invention, the data analysis module further includes: and the image acquisition sub-module is used for projecting the optical image of the sports motion onto the surface of the image sensor, converting the photosensitive signal into an analog electric signal, and performing analog-to-digital conversion and processing on the signal to obtain a digital image sequence.
In some embodiments of the invention, the course recommendation output module includes: and the health information submodule is used for feeding back the motion data and the physiological information in the physical exercise process to the user through the health information submodule and providing a targeted physical exercise guide plan according to different conditions of the user.
In some embodiments of the present invention, the above further includes: and the database module is used for storing various physical exercise courses, exercise methods, exercise plans and exercise data corresponding to the physical exercise courses and personal health data of a user.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions;
a computer-readable storage medium having stored thereon a computer program;
the one or more computer programs, when executed by the processor, implement the modules of any of claims 1-8.
In some embodiments of the present invention, the above further includes: and the cloud server is used for deploying the database module and realizing any one of the submodules.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the method comprises the steps of monitoring various indexes of a user in motion in real time, analyzing the relation between the indexes and a target value, generating a guidance suggestion, and giving a prompt in a voice mode. The method can enable a user to timely and conveniently know the difference between the current motion data and the target value in the exercise process, quickly adjust the motion data, and efficiently complete the motion prescription task in the shortest time; the intelligent wearable equipment, the physical exercise guidance terminal and the physical exercise equipment coupled with the motion data sensor are mutually communicated, so that real-time intelligent exercise information feedback is realized, the motion process is more transparent, transmitted data are encrypted, filtered and screened, and the safety and the accuracy of the data are improved; the optical image of sports is projected on the surface of an image sensor, an image processing module converts a photosensitive signal into an analog electric signal, the analog electric signal is converted and processed into a digital image, a continuous digital image sequence is analyzed, a calculation result is output through a data output interface, the sports intelligent analysis algorithm is utilized to analyze and calculate the sports continuous image sequence, sports exercise data such as process data, result data, irregular action data and large sports risk action data of a sports test are obtained, and the method has strong scientific instructor, is good in sports effect, and promotes the establishment of a large healthy sports database.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a block diagram of an intelligent physical exercise guidance system according to an embodiment of the present invention;
fig. 2 is an electronic device according to an embodiment of the present invention.
Icon: 10-an information acquisition module; 11-a data synchronization sub-module; 12-a motion data sub-module; 20-a data transmission module; 21-a data authentication sub-module; 30-a data analysis module; 31-a calculation submodule; 32-an image acquisition sub-module; 40-a course recommendation output module; 41-health information submodule; 50-a database module; 60-a cloud server; 101-a memory; 102-a processor; 103-communication interface. .
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram of an intelligent physical exercise guidance system module according to an embodiment of the present invention, which is shown as follows:
the information acquisition module 10 is used for acquiring the exercise data of the exerciser and the personal health data of the user in real time;
and the data synchronization submodule 11 is used for establishing associated corresponding user information by wearing the intelligent wearable device, and wirelessly connecting the currently worn intelligent sports device with the network layer for data information synchronization.
And the exercise data submodule 12 is used for acquiring real-time pace, total exercise time, total step number, total distance, effective exercise time, effective step number, effective distance, highest pace, lowest pace, average pace, real-time heart rate, highest heart rate, lowest heart rate, average heart rate and total calories.
In some embodiments, the exerciser wears the intelligent wearable device and collects the motion data and the physiological indexes in real time; the real-time collection of motion data comprises: real-time pace, total movement duration, total steps, total distance, effective movement duration, effective steps, effective distance, maximum pace, minimum pace, average pace; the physiological indexes acquired in real time comprise: real-time heart rate, highest heart rate, lowest heart rate, average heart rate, total calories. Real-time heart rate: unit: once per minute, collected every 5 seconds. Real-time pace speed: unit: step/min, collected every 5 seconds. Total movement duration: the time consumed by the exercise is accurate to seconds. The total steps are as follows: the number of steps completed by the exercise is suitable for exercise modes such as walking, running, mountain climbing and the like, and other exercise modes can be not collected. Total distance: distance, unit, of this movement completion: kilometers. The distance is the number of steps and the step distance is calculated according to the height of the user. Total heat: the heat consumed by the exercise is calculated according to the exercise mode, the height, the weight, the sex, the exercise duration and other indexes of the user.
The data transmission module 20 is configured to transmit each item of data acquired by the information acquisition module 10 to a network layer in a wired and/or wireless manner, and the network layer preprocesses each item of acquired information and then transmits the processed information to the data analysis module 30 in a wired and/or wireless manner;
and the data authentication submodule 21 is used for encrypting the received exercise data and the personal health data of the user, and screening and filtering abnormal data.
The data analysis module 30 is used for performing data analysis by acquiring the preprocessed movement data and physiological health data, and matching a movement guidance plan in a database according to a data analysis result;
and the calculating submodule 31 is used for operating an intelligent analysis algorithm of the sports motion, analyzing and calculating the sports motion continuous image sequence and obtaining the motion data.
And the image acquisition sub-module 32 is used for projecting the optical image of the sports motion onto the surface of the image sensor, converting the photosensitive signal into an analog electric signal, and performing analog-to-digital conversion and processing on the signal to obtain a digital image sequence.
In some embodiments, the optical image of the sports motion is projected onto the surface of the image sensor through the lens, the image processing module converts the light-sensitive signal into an analog electrical signal, performs analog-to-digital conversion and processing on the signal to obtain a digital image, and the intelligent sports computing module analyzes the continuous digital image sequence and outputs the computing result through the data output interface. And operating the intelligent calculation algorithm of the sports by using a general calculation chip or a special calculation chip, and analyzing and calculating the continuous image sequence of the sports to obtain the test result and the test process data of the sports.
In the embodiment, the standing long jump is taken as an example for calculating sports, and the continuous standing long jump digital image sequence is calculated and analyzed to obtain the standing long jump project achievement, the test process data, the irregular action data and the foul action data. The abnormal actions and foul actions of the standing long jump are analyzed, and the abnormal actions comprise the actions of stepping on a line, jumping with one foot, landing with one foot, retreating with one foot or two feet after landing, supporting the ground with two hands or one hand after landing, landing with the buttocks and the like. Besides the analysis of the test result, the motion data in the test process are also analyzed, wherein the motion data comprise the takeoff angle, the flight time, the flight height, the landing gravity center and the like of the standing long jump test. And outputting the data of the analysis result of the standing long jump through a data output interface module.
And the course recommendation output module 40 is used for evaluating the current health value of the student according to the obtained corresponding exercise guidance plan result and the health information of the student, and sending the health information and the corresponding exercise guidance plan to the student.
And the health information submodule 41 is used for feeding back exercise data and physiological information in the physical exercise process to the exerciser through the health information submodule 41 and providing a corresponding physical exercise scientific guidance plan according to different conditions of the exerciser.
In some embodiments, when the exercise is initiated, the target heart rate and/or the target pace and the target exercise duration of the exercise are/is broadcasted in a voice mode, so that a user can conveniently know the exercise target;
and (3) real-time exercise heart rate guidance, wherein when exercise is heart rate monitoring, the following guidance suggestions are given through analysis of the real-time exercise heart rate: when the real-time heart rate is lower than the lower limit of the target heart rate range, the 'lower than target heart rate, please accelerate' is reported; when the real-time heart rate reaches the target heart rate range, reporting 'reach target heart rate, please keep'; when the real-time heart rate exceeds the upper limit of the target heart rate range, reporting that the real-time heart rate exceeds the target heart rate and please slow down; when the real-time heart rate exceeds 95% of the maximum heart rate, the report "the current heart rate is too high, please decelerate immediately". In order to achieve the aims of guiding the user to do high-efficiency movement in real time and reducing harassment brought to the user by frequent guidance, the implementation of the proposal can play voice only when the real-time heart rate changes; each voice is played only once in a minute.
The database module 50 is used for storing various physical exercise courses, training plans and exercise data corresponding to the various physical exercise courses, and personal exercise and health data of users.
The cloud server 60 is used for deploying the database module 50, and implementing the data analysis module 30, the calculation sub-module 31, the image acquisition sub-module 32, the course recommendation output module 40, the health information sub-module 41 and the database module 50.
The cloud server 60 adopts an Ali cloud computing type C7 server and adopts a third generation
The extensible processor (Ice Lake) supports the basic bandwidth capacity of 64Gbit/s, has the network packet receiving and sending capacity of 2400 ten thousand PPS, is attached with the maximum 100G ESSD cloud disk storage, and can simultaneously support millions of people to access in real time.
The cloud server 60 supports deployment of the database module 50, the database module 50 adopts a MariaDB database, and a high-performance storage engine of the MariaDB database can improve data storage and query so as to meet requirements of processing data acquired in real time at a high speed, feeding back a training plan at an extremely high speed and improving training efficiency. Cloud server 60 may perform real-time hot backup of deployed database module 50 to ensure that data may be safely processed, stored, and migrated.
As shown in fig. 2, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the intelligent physical exercise guidance system provided by the embodiment of the application generates guidance suggestions by monitoring various indexes of a user in motion in real time, analyzing the relation between the indexes and a target value, and giving a prompt in a voice manner. The method can enable a user to timely and conveniently know the difference between the current exercise data and the target value in the exercise process, quickly adjust the exercise data, and efficiently complete exercise prescription tasks in as short a time as possible; the intelligent sports training system can also facilitate management of user training data, through interconnection and intercommunication of intelligent wearable equipment, a sports training guidance terminal and sports training equipment coupled with a sports data sensor, real-time intelligent feedback of sports training is realized, the sports process is more transparent and scientific, transmitted data are encrypted, filtered and screened, safety and accuracy of the data are improved, an optical image of sports motion is projected onto the surface of an image sensor, an image processing module converts a photosensitive signal into an analog electric signal, the signal is subjected to analog-to-digital conversion and processing to form a digital image, a continuous digital image sequence is analyzed, a calculation result is output through a data output interface, an intelligent sports analysis algorithm is utilized to analyze and calculate the continuous image sequence of the sports motion, and process data, result data, irregular motion data and the like of a sports motion test are obtained, The physical training data such as the large movement risk action data and the like have stronger scientific guidance and better movement effect, and promote the establishment of a healthy physical training large database.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An intelligent physical exercise guidance system, comprising:
the information acquisition module is used for acquiring real-time motion data of an exerciser and personal health data of a user in real time;
the data transmission module is used for transmitting all the data acquired by the information acquisition module to the network layer in a wired and/or wireless mode, and the network layer preprocesses all the acquired information and then transmits the information to the data analysis module in a wired and/or wireless mode;
the data analysis module is used for carrying out data analysis by acquiring the preprocessed movement data and physiological health data and matching a scientific movement guidance plan in the database according to a data analysis result;
and the course recommendation output module is used for evaluating the current health value of the user according to the obtained corresponding exercise guidance plan result and the health information of the user and sending the health information and the corresponding exercise guidance plan to the user.
2. The intelligent physical exercise guidance system of claim 1, wherein the information collection module further comprises:
and the data synchronization submodule is used for establishing user information corresponding to the association by wearing the intelligent wearable equipment, connecting the currently worn intelligent sports equipment with the wireless network and synchronizing the data information.
3. The intelligent physical exercise guidance system of claim 1, wherein the information collection module further comprises:
and the motion data submodule is used for acquiring real-time pace, total motion duration, total step number, total distance, effective motion duration, effective step number, effective distance, highest pace, lowest pace, average pace, real-time heart rate, highest heart rate, lowest heart rate, average heart rate, real-time blood pressure and total calories.
4. The intelligent physical exercise guidance system of claim 1, wherein the data transmission module further comprises:
and the data authentication submodule is used for encrypting the received motion data and the personal health data of the user and screening and filtering abnormal data.
5. The intelligent physical exercise guidance system of claim 1, wherein the data analysis module further comprises:
and the computing submodule is used for operating an intelligent analysis algorithm of the physical exercise, analyzing and computing the continuous image sequence of the physical exercise and obtaining the limb movement data.
6. The intelligent physical exercise guidance system of claim 1, wherein the data analysis module further comprises:
and the image acquisition sub-module is used for projecting the optical image of the sports player onto the surface of the image sensor, converting the photosensitive signal into an analog electric signal, and performing analog-to-digital conversion and processing on the signal to obtain a digital image sequence.
7. The intelligent physical exercise guidance system of claim 1, wherein the course recommendation output module comprises:
and the health information submodule is used for feeding back the motion data and the physiological information in the physical training process to the user through the health information submodule and providing a targeted physical training guide plan according to different conditions of the exerciser.
8. The intelligent physical exercise guidance system of claim 1, further comprising:
the database module is used for storing various physical exercise courses, training plans and exercise data corresponding to the physical exercise courses and personal exercise and health data of users.
9. The intelligent physical exercise guidance system of claim 1, comprising:
at least one memory for storing computer instructions;
a computer-readable storage medium having stored thereon a computer program;
the one or more computer programs, when executed by the processor, implement the modules of any of claims 1-8.
10. The intelligent physical exercise guidance system of claim 1, comprising: cloud server for deploying a database module and implementing a module as claimed in any one of claims 4-8.
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Cited By (2)
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| CN117035249A (en) * | 2023-01-09 | 2023-11-10 | 南京数之信市场研究有限公司 | Stadium investigation task allocation management system |
| EP4279154A1 (en) * | 2022-05-17 | 2023-11-22 | Chengdu Shangyi Information Technology Co., Ltd. | Movement adjustment system based on heart rates and rating of perceived exertion feedbacks of different users |
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