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Title:
TRAINING METHOD AND SYSTEM BASED ON MULTI-DIMENSIONAL MOVEMENT ABILITY RECOGNITION, TERMINAL, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/053080
Kind Code:
A3
Abstract:
The present disclosure relates to a training method based on multi-dimensional movement ability recognition. The technical solution comprises: constructing an action library consisting of multiple pieces of standard action data; collecting movement image information of a training object, and correspondingly calibrating key nodes and intermediate nodes in extracted key frames; on the basis of movement transformation states of the key nodes in the key frames, performing simulation and calculating movement vectors of the key frames, and, referring to intermediate nodes, performing analysis and calculation on the movement vectors to obtain ability values of the flexibility, agility, and strength of the training object for practicing corresponding standard movements; determining whether the training object is qualified according to the ability values, and according to unqualified movement abilities, generating a training plan after selecting a corresponding video stream from the action library. By means of the multi-dimensional movement ability recognition and analysis on the flexibility, agility, and strength of the training object, targeted training can be carried out accurately according to the flaws of the training object, the error in training purpose is small, and the training effects are significantly improved.

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Inventors:
WENG JUN (CN)
TANG TIANGUANG (CN)
CAI TIANCAI (CN)
LI YUTING (CN)
CHEN LIANG (CN)
Application Number:
PCT/CN2021/129533
Publication Date:
April 28, 2022
Filing Date:
November 09, 2021
Export Citation:
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Assignee:
CHENGDU FIT FUTURE TECH CO LTD (CN)
International Classes:
G06K9/00; A63B71/00
Foreign References:
CN112057830A2020-12-11
CN110448870A2019-11-15
CN101246518A2008-08-20
US20170266491A12017-09-21
JPH1055131A1998-02-24
CN110728220A2020-01-24
CN108519818A2018-09-11
CN101172199A2008-05-07
CN111046766A2020-04-21
Attorney, Agent or Firm:
ZY PARTNERS (CN)
Download PDF:
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