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Training method and system based on multi-dimensional motion capability identification, terminal and medium

A technology of sports ability and training method, applied in sports accessories and other directions, can solve problems such as unsatisfactory training effect, large purpose error, and inability to train intelligent fitness equipment, achieve small purpose error, improve calculation accuracy, and improve effect of training

Active Publication Date: 2020-12-11
CHENGDU FIT-FUTURE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing intelligent fitness equipment cannot provide targeted training according to the defects of the training object, and the purpose error of its training is large, resulting in unsatisfactory training effects, the purpose of the present invention is to provide a training method based on multi-dimensional exercise ability recognition , system, terminal and media

Method used

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  • Training method and system based on multi-dimensional motion capability identification, terminal and medium
  • Training method and system based on multi-dimensional motion capability identification, terminal and medium
  • Training method and system based on multi-dimensional motion capability identification, terminal and medium

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Embodiment 1

[0055] Embodiment 1: A training method based on multi-dimensional athletic ability recognition, such as figure 1 shown, including the following steps:

[0056] S101: Build an action library composed of multiple standard action data, each standard action data is divided into a video stream of flexibility explanation, a video stream of agility training, and a video stream of strength training.

[0057] S102 : Collect moving image information of the training object, and extract at least three key frames corresponding to standard actions from the moving image information, as well as correspondingly calibrated key nodes in the key frames and evenly distributed intermediate nodes between adjacent key nodes.

[0058] S103: Simulate and calculate the motion vector of the key frame according to the motion transformation state of the key node in the key frame, and analyze and calculate the motion vector with reference to the intermediate node to obtain the flexibility, agility and stren...

Embodiment 2

[0073] Embodiment 2: A training system based on multi-dimensional athletic ability recognition, such as Figure 5 As shown, it includes an action library construction module 101 , an image processing module 102 , an ability value calculation module 103 , and a plan generation module 104 . The action library building module 101 constructs an action library composed of multiple standard action data, and each standard action data is divided into a video stream of flexibility instruction, a video stream of agility training, and a video stream of strength training. The image processing module 102 collects the moving image information of the training object, extracts at least three key frames corresponding to standard actions from the moving image information, and correspondingly demarcates key nodes in the key frames and is located in at least one middle between adjacent key nodes node. The ability value calculation module 103 simulates and calculates the motion vector of the key ...

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Abstract

The invention discloses a training method based on multi-dimensional motion capability identification. The training method is characterized by comprising the steps of constructing an action library composed of a plurality of standard action data; collecting motion image information of the training object, and correspondingly calibrating a key node and an intermediate node in the extracted key frame; simulating and calculating a motion vector of the key frame according to the motion transformation state of the key node in the key frame, and analyzing and calculating the motion vector by referring to the intermediate node to obtain the flexibility, agility and strength capability value of the training object for practicing the corresponding standard action; and judging whether the capabilityvalue of the training object is qualified or not according to the standard capability value, and selecting a corresponding video stream from the action library according to the unqualified motion capability to generate a training plan. By carrying out multi-dimensional motion capability identification and analysis on the flexibility, agility and strength of the training object, targeted trainingcan be accurately carried out according to the defects of the training object, the targeted error of training is small, and the training effect is remarkably improved.

Description

technical field [0001] The present invention relates to the technical field of intelligent fitness, and more particularly, to a training method, system, terminal and medium based on multi-dimensional motion ability recognition. Background technique [0002] In today's era of the Internet for all people, the Internet will occupy most of the time of life. At the same time, with the acceleration of the pace of life, more and more people's bodies are in a sub-health state, but it is difficult to spare time for outdoor sports. Most of them choose to stay at home by themselves. Compared with online exercise tutorials for exercise and fitness, due to the lack of professional guidance, the effect of fitness training is not significant. However, during the fitness training process of the training object, the existing intelligent fitness equipment cannot perform targeted training according to the defects of the training object, and the training purpose error is large, resulting in an ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63B71/00
CPCA63B71/00
Inventor 翁君唐天广蔡天才李玉婷
Owner CHENGDU FIT-FUTURE TECH CO LTD