The existing motion capture technologies and their application

Ziyi Xin

doi:10.54254/2755-2721/13/20230702

Research Article

Open access

Published on 23 October 2023

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Xin,Z. (2023). The existing motion capture technologies and their application. Applied and Computational Engineering,13,7-12.

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The existing motion capture technologies and their application

Ziyi Xin *^,1,

¹ University of California

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/13/20230702

Abstract

Motion Capture technology refers to the technology of recording and processing the actions of people or other objects, and generating corresponding virtual asset action animations. It has been widely used in our daily life. Virtual characters like Hulk, Gollm, and Avatar were all built based on the technology. It can also be applied to sports analysis, human biomechanics, automotive, virtual reality, etc, showing its huge application prospects. Specifically, 3D Motion Capture Market was forecast to reach $270.9 million by 2026 suggested by industry ARC. To help readers get familiar with the field without much background knowledge, this paper reviews the origin of the motion capture technology, the way motion capture technology was realized and the mainstream methodologies of capturing motion. This paper provides the reader with some existing applications of motion capture technology in different fields so that the reader can understand the importance of the technique. Readers can also get some insight into what future studies may be focused on and if there is any promotion of the motion-capturing methods.

Keywords

motion capture, technology, film, optical, inertia

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References

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Cite this article

Xin,Z. (2023). The existing motion capture technologies and their application. Applied and Computational Engineering,13,7-12.

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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 Computing and Data Science

Conference website: https://2023.confcds.org/

ISBN：978-1-83558-017-2(Print) / 978-1-83558-018-9(Online)

Conference date: 14 July 2023

Editor：Roman Bauer, Marwan Omar, Alan Wang

Series: Applied and Computational Engineering

Volume number: Vol.13

ISSN：2755-2721(Print) / 2755-273X(Online)

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