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Multi-modal strength training auxiliary method and system

A multi-modal, strength technology, applied in the field of strength training, to achieve the effect of efficient strength training, improved accuracy, and improved accuracy

Pending Publication Date: 2022-04-08
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In the existing technology, while emerging online platforms and mobile applications can guide and track strength training, there is currently no practical way to use the brain-muscle connection to monitor and assist the user's exercise performance

Method used

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  • Multi-modal strength training auxiliary method and system
  • Multi-modal strength training auxiliary method and system
  • Multi-modal strength training auxiliary method and system

Examples

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Embodiment Construction

[0022] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0023] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0024] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0025] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...

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PUM

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Abstract

The invention discloses a multi-modal strength training assisting method and system. The method comprises the steps that electromyographic signals and posture signals of a user in the strength training process are obtained, an action starting point is recognized, strength training information is determined according to extracted electromyographic signal features and posture signal features, and the strength training information comprises action types and muscle group force generation intensity; acquiring brain wave signals of the user in the strength training process, extracting frequency domain signal features according to the identified action starting point, and further determining brain attention intensity information according to the frequency domain signal features; and based on the strength training information and the brain attention emphasis information, performing analysis in combination with real training strength, and feeding back a strength training result to the user. The mental degree of the user is detected, the user is helped to enter a concentration mode through visual feedback, common fitness actions can be automatically recognized and corrected, and the correctness and efficiency of strength training actions of the user are improved.

Description

technical field [0001] The present invention relates to the technical field of strength training, and more specifically, to a multimodal strength training auxiliary method and system. Background technique [0002] With the development and progress of society, people have a higher pursuit of a strong body and posture. Strength training can help lose weight, improve balance, and prevent falls, which is very important for physical and mental health. In recent years, free weight training has become an appealing form of exercise that increases muscle strength, muscle mass, and joint strength. Free weight training is widely used in fitness and exercise because it does not require much equipment, for example, a single dumbbell can be used for various exercises. [0003] In fact, although everyone has different exercise goals, the common goal of "efficient training" is the same. In strength training, there are many strength training conditions depending on the muscles involved, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08A63B71/06
Inventor 王璐涂栋亮王泰华伍楷舜
Owner SHENZHEN UNIV
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