2023 Vol.6 Apr.N0.2

• Title: Research on adaptive recognition method of upper limb motion image in Competitive Aerobics
• Name: Jun Wang1，Tianzi Liu2
• Company: 1.Shandong Normal University，physical culture institute， Jinan 250014，China； (2.Shandong University of Finance and Economics，physical culture institute，Jinan 250014，China
• Abstract:

  In order to improve the positioning ability of arm movement arc trajectory of aerobics, an adaptive recognition method of upper limb movement image of competitive aerobics is proposed. Build the image acquisition model of the action arc trajectory of the aerobics arm, carry out feature detection by combining the visual information feature analysis and reconstruction method, extract the contour of the arc trajectory distribution of the aerobics arm action image, analyze the internal structure information of the aerobics arm action image by using the multi-layer wavelet decomposition method, and realize the image feature decomposition through multi-dimensional pixel information decomposition, It realizes the arc track positioning and adaptive offset compensation of the aerobics arm action image, and improves the adaptive recognition ability of the competitive aerobics upper limb action image according to the edge contour feature extraction results. The simulation results show that the self-adaptive recognition method of Competitive Aerobics' upper limb movement image has higher accuracy and better positioning performance, and improves the optimization and correction ability of Aerobics' arm movements.

  
  

• Keyword: competitive aerobics; Upper limb movement; Adaptive identification; Image recognition;
• DOI: 10.12250/jpciams2023090410
• Citation form: Jun Wang.Research on adaptive recognition method of upper limb motion image in Competitive Aerobics [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.46-53

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