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Published on 29 November 2024
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Yang,J. (2024).Analysis of Motion Capture Technology Research and Typical Applications.Applied and Computational Engineering,112,130-138.
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Analysis of Motion Capture Technology Research and Typical Applications

Junhao Yang *,1,
  • 1 School of Institute of Technology University, International Education Institute, Nanjing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2024.17920

Abstract

Motion capture technology is one of the key topics of current research, with researchers exploring its applications in fields such as sports, entertainment, and video games. However, there is a research gap in current mainstream motion capture analysis based on different sensors. This study analyzes motion capture systems using contact and non-contact sensors, discussing their respective advantages, disadvantages, and solutions, particularly in terms of their performance in various industries, as well as issues such as data drift, accuracy, and cost. The research methods involve multiple capturing techniques included in both contact and non-contact motion capture. The results indicate that future motion capture technology will focus on cost optimization, device miniaturization, and markerless technology development. Additionally, motion capture has potential applications in psychology, with a hypothesis proposed for the development of emotion-responsive motion capture through in-depth integration with AI, which could be a major breakthrough. This evolution of motion capture technology aims to foster innovation across more application fields.

Keywords

Motion Capture Technology, Sensors, Markerless Motion Capture, Artificial Intelligence, Deep Learning

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Cite this article

Yang,J. (2024).Analysis of Motion Capture Technology Research and Typical Applications.Applied and Computational Engineering,112,130-138.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/
ISBN:978-1-83558-747-8(Print) / 978-1-83558-748-5(Online)
Conference date: 12 January 2025
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.112
ISSN:2755-2721(Print) / 2755-273X(Online)

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