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Research on Human Motion Recognition Based on Computer Vision Technology

Published: 02 May 2022 Publication History

Abstract

In order to improve the accuracy of human motion recognition, computer vision technology is selected as the research tool, and a representation method of human bone and joint is proposed. This method takes the adaptive human motion bone center architecture as the action recognition tool, constructs the human motion action recognition model by calculating the angular acceleration and angular velocity of the neck and hip joints, and uses the model to calculate the action data and generate the recognition results. The experimental results show that the motion recognition accuracy of this algorithm is high, and it can be used as a motion recognition tool.

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          cover image ACM Other conferences
          ICMVA '22: Proceedings of the 2022 5th International Conference on Machine Vision and Applications
          February 2022
          128 pages
          ISBN:9781450395670
          DOI:10.1145/3523111
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Association for Computing Machinery

          New York, NY, United States

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          Published: 02 May 2022

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          Author Tags

          1. Bone Center
          2. Computer vision technology
          3. action recognition

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