CN111370089A - Sports training system - Google Patents

Sports training system Download PDF

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Publication number
CN111370089A
CN111370089A CN202010140449.3A CN202010140449A CN111370089A CN 111370089 A CN111370089 A CN 111370089A CN 202010140449 A CN202010140449 A CN 202010140449A CN 111370089 A CN111370089 A CN 111370089A
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China
Prior art keywords
training
module
physical
parameters
trainer
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CN202010140449.3A
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Chinese (zh)
Inventor
徐乐
李源
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Zhengzhou Railway Vocational and Technical College
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Zhengzhou Railway Vocational and Technical College
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Priority to CN202010140449.3A priority Critical patent/CN111370089A/en
Publication of CN111370089A publication Critical patent/CN111370089A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT 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
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00Training appliances or apparatus for special sports
    • A63B69/0053Apparatus generating random stimulus signals for reaction-time training involving a substantial physical effort
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0616Means for conducting or scheduling competition, league, tournaments or rankings
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00Measuring of physical parameters relating to sporting activity
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00Measuring physiological parameters of the user
    • A63B2230/60Measuring physiological parameters of the user muscle strain, i.e. measured on the user

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Rehabilitation Tools (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention discloses a physical training system which comprises a management platform, a data acquisition module, an exercise interaction module, a data comparison and analysis module, an experience knowledge base, a real-time monitoring module and a user feedback module, wherein the management platform, the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module carry out information interaction through a wireless network; the physical training system can synthesize the physical state data, subjective opinions and prior knowledge of the trainee to obtain a personalized training scheme for the trainee to carry out physical training, can improve the training interest of the trainee, can improve the training effect and efficiency by carrying out physical training on the basis of the training interest, can avoid the time and physical consumption caused by invalid training, carries out training by utilizing different training contents aiming at each trainee, and has pertinence and high efficiency.

Description

Sports training system
Technical Field
The invention relates to the technical field of sports assistance, in particular to a sports training system.
Background
With the development of science and technology, people have generally good lives and more have more and more hair diseases because people neglect to exercise for a long time. To make the body exercise effect better, the principle and the requirement of scientific body exercise are followed, and the comprehensive body exercise is the basis for making the body develop in a balanced way and improving the health level.
The physical teaching content includes walking, running, jumping, throwing, climbing, hanging, supporting and skill, supporting jumping and ball, game and other items, so rich exercise content is arranged, the purpose is to make the body to be comprehensively exercised, the prior physical training system always adopts a teaching method which is mainly subjective and experienced, so blind repeated exercise is easily generated, the exercise effect and efficiency are greatly reduced, the prior physical teaching lacks pertinence, and reasonable auxiliary teaching can not be carried out according to the self characteristics of a trainee. Therefore, the invention provides a physical training system to solve the defects in the prior art.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a physical training system, which can integrate physical state data, subjective opinions and prior knowledge of a trainer to obtain a personalized training scheme for the trainer to perform physical training, so as to improve training interests of the trainer, and improve training effect and efficiency by performing physical training based on the training interests.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme:
a physical training system comprises a management platform, a data acquisition module, an exercise interaction module, a data comparison and analysis module, an experience knowledge base, a real-time monitoring module and a user feedback module, wherein the management platform, the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module carry out information interaction through a wireless network;
the data acquisition module is used for acquiring basic body parameters of a trainer, and specifically comprises behavior ability parameters and physical ability parameters;
the exercise interaction module is used for acquiring training parameters of a trainer in a training process and physical parameters after training;
the data comparison and analysis module is used for comparing the data acquired by the data acquisition module and the exercise interaction module to obtain a motion change parameter;
the experience knowledge base is used for collecting a subjective teaching method and historical teaching experience of a teacher and then forming prior experience according to the subjective teaching method and the historical teaching experience;
the real-time monitoring module is used for monitoring the whole physical training system, timely acquiring abnormal information generated in the physical training system, sending the abnormal information to the management platform and displaying the abnormal information through a popup window;
the user feedback module is used for collecting subjective opinions of a trainer before and after training to form opinion information;
the management platform is used for receiving data generated by the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module and issuing control information to the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module, and the management platform performs comprehensive calculation according to opinion information, motion change parameters and prior experience to obtain optimal training content and provides the optimal training content for a trainer to train.
The further improvement lies in that: the performance parameters include the performance response, sensitivity, flexibility and limitation degree of the limb movement of the trainer, and the physical performance parameters include the height, weight, age, disease history and basic physical examination report of the trainer.
The further improvement lies in that: the training parameters are collected through a camera and a human body motion sensor, and the trained body parameters comprise muscle damage parameters, fatigue degree and mental state parameters.
The further improvement lies in that: when the data comparison and analysis module compares the data acquired by the data acquisition module and the exercise interaction module, the physical parameters are compared with the physical parameters after training, whether the training item content pair accords with the physical parameters of a trainer or not is judged, a first change parameter is obtained, then the performance capability parameter is compared with the training parameters, the training item content completion degree of the trainer under the capacity parameter is recorded at first, then the training item content completion degree is compared with the training parameter record, a second change parameter is obtained by judging the training item content completion degree difference, and the first change parameter and the second change parameter are integrated to obtain the motion change parameter.
The further improvement lies in that: when the experience knowledge base collects the subjective teaching methods and the historical teaching experiences of the teachers, the subjective teaching methods and the historical teaching experiences need to be screened, and the subjective teaching methods and the historical teaching experiences of the authoritative teachers are selected preferentially.
The further improvement lies in that: the experience knowledge base acquires a new subjective teaching method and historical teaching experience in real time based on the Internet, and forms new prior experience which is continuously filled into the experience knowledge base.
The further improvement lies in that: the real-time monitoring module comprises an alarm unit, the alarm unit comprises a warning lamp and an alarm, the warning lamp and the alarm are arranged in the management platform, and the alarm unit is used for giving an alarm for abnormal information.
The further improvement lies in that: the management platform designs a personalized training scheme which accords with physical ability and physical limits of a trainer and subjective opinions of the trainer according to opinion information, motion change parameters and prior experience, and obtains optimal training content to provide for the trainer to train.
The invention has the beneficial effects that: the system can synthesize the physical state data, subjective opinions and prior knowledge of the trainee to obtain a personalized training scheme for the trainee to carry out physical training, can improve the training interest of the trainee, can improve the training effect and efficiency by carrying out physical training on the basis of the training interest, can avoid the time and physical consumption caused by invalid training, carries out training by utilizing different training contents aiming at each trainee, and has pertinence and high efficiency.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
According to fig. 1, the embodiment provides a physical training system, which includes a management platform, a data acquisition module, an exercise interaction module, a data comparison and analysis module, an experience knowledge base, a real-time monitoring module, and a user feedback module, where the management platform, the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module, and the user feedback module perform information interaction through a wireless network;
the data acquisition module is used for acquiring basic body parameters of a trainer, and specifically comprises behavior ability parameters and physical ability parameters;
the exercise interaction module is used for acquiring training parameters of a trainer in a training process and physical parameters after training;
the data comparison and analysis module is used for comparing the data acquired by the data acquisition module and the exercise interaction module to obtain a motion change parameter;
the experience knowledge base is used for collecting a subjective teaching method and historical teaching experience of a teacher and then forming prior experience according to the subjective teaching method and the historical teaching experience;
the real-time monitoring module is used for monitoring the whole physical training system, timely acquiring abnormal information generated in the physical training system, sending the abnormal information to the management platform and displaying the abnormal information through a popup window;
the user feedback module is used for collecting subjective opinions of a trainer before and after training to form opinion information;
the management platform is used for receiving data generated by the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module and issuing control information to the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module, and the management platform performs comprehensive calculation according to opinion information, motion change parameters and prior experience to obtain optimal training content and provides the optimal training content for a trainer to train.
The performance parameters include the performance response, sensitivity, flexibility and limitation degree of the limb movement of the trainer, and the physical performance parameters include the height, weight, age, disease history and basic physical examination report of the trainer.
The training parameters are collected through a camera and a human body motion sensor, and the trained body parameters comprise muscle damage parameters, fatigue degree and mental state parameters.
When the data comparison and analysis module compares the data acquired by the data acquisition module and the exercise interaction module, the physical parameters are compared with the physical parameters after training, whether the training item content pair accords with the physical parameters of a trainer or not is judged, a first change parameter is obtained, then the performance capability parameter is compared with the training parameters, the training item content completion degree of the trainer under the capacity parameter is recorded at first, then the training item content completion degree is compared with the training parameter record, a second change parameter is obtained by judging the training item content completion degree difference, and the first change parameter and the second change parameter are integrated to obtain the motion change parameter.
When the experience knowledge base collects the subjective teaching methods and the historical teaching experiences of the teachers, the subjective teaching methods and the historical teaching experiences need to be screened, and the subjective teaching methods and the historical teaching experiences of the authoritative teachers are selected preferentially.
The experience knowledge base acquires a new subjective teaching method and historical teaching experience in real time based on the Internet, and forms new prior experience which is continuously filled into the experience knowledge base.
The real-time monitoring module comprises an alarm unit, the alarm unit comprises a warning lamp and an alarm, the warning lamp and the alarm are arranged in the management platform, and the alarm unit is used for giving an alarm for abnormal information.
The management platform designs a personalized training scheme which accords with physical ability and physical limits of a trainer and subjective opinions of the trainer according to opinion information, motion change parameters and prior experience, and obtains optimal training content to provide for the trainer to train.
The system can synthesize the physical state data, subjective opinions and prior knowledge of the trainee to obtain a personalized training scheme for the trainee to carry out physical training, can improve the training interest of the trainee, can improve the training effect and efficiency by carrying out physical training on the basis of the training interest, can avoid the time and physical consumption caused by invalid training, carries out training by utilizing different training contents aiming at each trainee, and has pertinence and high efficiency.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1. A physical training system, characterized by: the system comprises a management platform, a data acquisition module, an exercise interaction module, a data comparison and analysis module, an experience knowledge base, a real-time monitoring module and a user feedback module, wherein the management platform, the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module carry out information interaction through a wireless network;
the data acquisition module is used for acquiring basic body parameters of a trainer, and specifically comprises behavior ability parameters and physical ability parameters;
the exercise interaction module is used for acquiring training parameters of a trainer in a training process and physical parameters after training;
the data comparison and analysis module is used for comparing the data acquired by the data acquisition module and the exercise interaction module to obtain a motion change parameter;
the experience knowledge base is used for collecting a subjective teaching method and historical teaching experience of a teacher and then forming prior experience according to the subjective teaching method and the historical teaching experience;
the real-time monitoring module is used for monitoring the whole physical training system, timely acquiring abnormal information generated in the physical training system, sending the abnormal information to the management platform and displaying the abnormal information through a popup window;
the user feedback module is used for collecting subjective opinions of a trainer before and after training to form opinion information;
the management platform is used for receiving data generated by the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module and issuing control information to the data acquisition module, the exercise interaction module, the data comparison and analysis module, the experience knowledge base, the real-time monitoring module and the user feedback module, and the management platform performs comprehensive calculation according to opinion information, motion change parameters and prior experience to obtain optimal training content and provides the optimal training content for a trainer to train.
2. A physical training system according to claim 1, wherein: the performance parameters include the performance response, sensitivity, flexibility and limitation degree of the limb movement of the trainer, and the physical performance parameters include the height, weight, age, disease history and basic physical examination report of the trainer.
3. A physical training system according to claim 1, wherein: the training parameters are collected through a camera and a human body motion sensor, and the trained body parameters comprise muscle damage parameters, fatigue degree and mental state parameters.
4. A physical training system according to claim 1, wherein: when the data comparison and analysis module compares the data acquired by the data acquisition module and the exercise interaction module, the physical parameters are compared with the physical parameters after training, whether the training item content pair accords with the physical parameters of a trainer or not is judged, a first change parameter is obtained, then the performance capability parameter is compared with the training parameters, the training item content completion degree of the trainer under the capacity parameter is recorded at first, then the training item content completion degree is compared with the training parameter record, a second change parameter is obtained by judging the training item content completion degree difference, and the first change parameter and the second change parameter are integrated to obtain the motion change parameter.
5. A physical training system according to claim 1, wherein: when the experience knowledge base collects the subjective teaching methods and the historical teaching experiences of the teachers, the subjective teaching methods and the historical teaching experiences need to be screened, and the subjective teaching methods and the historical teaching experiences of the authoritative teachers are selected preferentially.
6. A physical training system according to claim 1, wherein: the experience knowledge base acquires a new subjective teaching method and historical teaching experience in real time based on the Internet, and forms new prior experience which is continuously filled into the experience knowledge base.
7. A physical training system according to claim 1, wherein: the real-time monitoring module comprises an alarm unit, the alarm unit comprises a warning lamp and an alarm, the warning lamp and the alarm are arranged in the management platform, and the alarm unit is used for giving an alarm for abnormal information.
8. A physical training system according to claim 1, wherein: the management platform designs a personalized training scheme which accords with physical ability and physical limits of a trainer and subjective opinions of the trainer according to opinion information, motion change parameters and prior experience, and obtains optimal training content to provide for the trainer to train.
CN202010140449.3A 2020-03-03 2020-03-03 Sports training system Pending CN111370089A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113457108A (en) * 2021-07-07 2021-10-01 首都体育学院 Cognitive characterization-based exercise performance improving method and device
CN115779395A (en) * 2022-12-01 2023-03-14 西南医科大学 Physical training analysis method and system for physical training of physical exercise

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105999682A (en) * 2016-06-14 2016-10-12 郑州华信学院 Sports training monitoring system
CN108091380A (en) * 2017-11-30 2018-05-29 中科院合肥技术创新工程院 Teenager's basic exercise ability training system and method based on multi-sensor fusion
CN109192269A (en) * 2018-09-04 2019-01-11 中科院合肥技术创新工程院 A kind of teenager's sport health management system based on cloud platform

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105999682A (en) * 2016-06-14 2016-10-12 郑州华信学院 Sports training monitoring system
CN108091380A (en) * 2017-11-30 2018-05-29 中科院合肥技术创新工程院 Teenager's basic exercise ability training system and method based on multi-sensor fusion
CN109192269A (en) * 2018-09-04 2019-01-11 中科院合肥技术创新工程院 A kind of teenager's sport health management system based on cloud platform

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113457108A (en) * 2021-07-07 2021-10-01 首都体育学院 Cognitive characterization-based exercise performance improving method and device
CN115779395A (en) * 2022-12-01 2023-03-14 西南医科大学 Physical training analysis method and system for physical training of physical exercise
CN115779395B (en) * 2022-12-01 2024-06-11 西南医科大学 Physical training analysis method and system for sports

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Application publication date: 20200703