Analysis of Labanotation generation based on motion capture data

Boran Chen; Jiaji Wang; Zhenjiang Miao; Jianpo Li; Shengchun Yang

doi:10.1117/12.3009423

16 October 2023 Analysis of Labanotation generation based on motion capture data

Boran Chen, Jiaji Wang, Zhenjiang Miao, Jianpo Li, Shengchun Yang

Author Affiliations +

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128031O (2023) https://doi.org/10.1117/12.3009423
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Labanotation is an approach to record human movement with different distributions in space that have different representations of symbols. Motion capture is a technique that records the trajectory of an object in the time domain by tracking the motion of key points, observed using different sensors, and recorded in files. This paper is to manually mark the Labanotation based on 3D human motion capture data, to divide the 3D human motion into gaits and poses, and to record and represent different human movements and positions in space in the notation. This is an exploration of motion capture data to generate Labanotation, while also contributing to the preservation of folk-art forms.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Boran Chen, Jiaji Wang, Zhenjiang Miao, Jianpo Li, and Shengchun Yang "Analysis of Labanotation generation based on motion capture data", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128031O (16 October 2023); https://doi.org/10.1117/12.3009423

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