Review of vision-based gesture recognition technology

Yifei Bao; Zongmiao Dai; Peizhang Wu

doi:10.1117/12.3031619

18 July 2024 Review of vision-based gesture recognition technology

Yifei Bao, Zongmiao Dai, Peizhang Wu

Proceedings Volume 13179, International Conference on Optics and Machine Vision (ICOMV 2024); 131790T (2024) https://doi.org/10.1117/12.3031619
Event: International Conference on Optics and Machine Vision (ICOMV 2024), 2024, Nanchang, China

Abstract

With the emergence of deep learning methodologies, vision-based gesture recognition technology has continuously advanced. This paper primarily delves into four main stages of vision-based gesture recognition: gesture segmentation, gesture tracking, feature extraction, and gesture classification. It sequentially introduces pertinent techniques from representative literature spanning from 2018 to 2023. Based on this analysis, the current status of vision-based gesture recognition technology is examined, paving the way for predicting its future trends and developments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yifei Bao, Zongmiao Dai, and Peizhang Wu "Review of vision-based gesture recognition technology", Proc. SPIE 13179, International Conference on Optics and Machine Vision (ICOMV 2024), 131790T (18 July 2024); https://doi.org/10.1117/12.3031619

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