Analysis of Motion Capture Technology Research and Typical Applications

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.

Authors

Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-29
DOI
https://doi.org/10.54254/2755-2721/2024.17920
Citations
2
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.66
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article

Analysis of Motion Capture Technology Research and Typical Applications

Jie Yang
2 citations
Applied and Computational Engineering
Simulation and Modeling Applications
0.66
article

Analysis of Motion Capture Technology Research and Typical Applications

Jie Yang
article en
2 citations

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.

Applied and Computational EngineeringVol. 112(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Simulation and Modeling Applications
0.66
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