Vision-based Hand Gesture Recognition Technology

Xinyue Lou

doi:10.54254/2755-2721/2025.21696

Research Article

Open access

Published on 31 March 2025

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Lou,X. (2025). Vision-based Hand Gesture Recognition Technology . Applied and Computational Engineering,141,54-59.

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Vision-based Hand Gesture Recognition Technology

Xinyue Lou *^,1,

¹ Zhejiang A&F University, College of Chemistry and Materials Engineering, Hangzhou, China 311300

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.21696

Abstract

Human-computer interaction has a wide range of application prospects in many fields such as medicine, entertainment, industry and education. Gesture recognition is one of the most important technologies for gesture interaction between humans and robots, and visual gesture recognition increases the user's comfort and freedom compared with data glove recognition. This paper summarizes the general process of visual gesture recognition based on the literature, including three steps: pre-processing, feature extraction, and gesture classification. It also defines static and dynamic gestures and makes a comparison between their differences and recognition emphases. Based on static and dynamic gesture recognition, this paper summarizes the commonly - used visual gesture recognition methods. For static gesture recognition, it includes methods such as the template - matching method and the AdaBoost - based method. As for dynamic gesture recognition, it encompasses methods like the hidden Markov model method and the dynamic time regularization method. Finally, some applications of visual gesture recognition are introduced, for example, a non-contact system for operating rooms and smart home control.

Keywords

gesture recognition, posture recognition, computer vision, human-computer interaction

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References

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Cite this article

Lou,X. (2025). Vision-based Hand Gesture Recognition Technology . Applied and Computational Engineering,141,54-59.

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 3rd International Conference on Mechatronics and Smart Systems

Conference website: https://2025.confmss.org/

ISBN：978-1-83558-997-7(Print) / 978-1-83558-998-4(Online)

Conference date: 16 June 2025

Editor：Mian Umer Shafiq

Series: Applied and Computational Engineering

Volume number: Vol.141

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

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