Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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Advances in Vision-Based Gesture Recognition and Its Diverse Applications

Authors
Jidong Liu1, Yehao Tan2, Zhaohe Wu3, *
1School of Computer Science and Technology, Jilin University of Finance and Economics, Jilin, China
2School of Computer Science and Technology, Southwest Petroleum University, Nanchong, China
3School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China
*Corresponding author. Email: 2022337621027@mails.zstu.edu.cn
Corresponding Author
Zhaohe Wu
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_22How to use a DOI?
Keywords
Computer Vision Gesture Recognition Overview
Abstract

With the rapid development of science and technology, gesture recognition has emerged as one of the most important methods of human-computer interaction. Among the various approaches to gesture recognition, vision-based methods have proven to be the most mature and widely adopted. Vision-based gesture recognition leverages advanced computer vision techniques and machine learning algorithms to interpret human gestures from visual data captured by cameras. This method allows for intuitive and natural interactions between humans and computers, enabling applications in a wide range of fields. From virtual reality and gaming to sign language interpretation and smart home controls, vision-based gesture recognition offers significant potential for enhancing user experiences. Its ability to provide touchless control and seamless interaction makes it a crucial component in the advancement of human-computer interfaces. As technology continues to evolve, vision-based gesture recognition is expected to play an increasingly pivotal role in creating more immersive and responsive interactive systems.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_22How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jidong Liu
AU  - Yehao Tan
AU  - Zhaohe Wu
PY  - 2024
DA  - 2024/09/23
TI  - Advances in Vision-Based Gesture Recognition and Its Diverse Applications
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 189
EP  - 194
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_22
DO  - 10.2991/978-94-6463-512-6_22
ID  - Liu2024
ER  -