Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)

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Research on CSI-based Gesture Recognition Technology and Their Typical Applications

Authors
Litao Wei1, *
1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100000, China
*Corresponding author. Email: Wlt777@bupt.edu.cn
Corresponding Author
Litao Wei
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_30How to use a DOI?
Keywords
Wireless Sensing; Wi-Fi Channel State Information; Gesture Recognition; Human–Computer Interaction
Abstract

In recent years, with the development of technology, gesture recognition technology based on Wi-Fi Channel State Information (CSI) has received widespread attention. This technology can realize non-contact, wireless perception recognition of gesture movements, and has many advantages such as high precision, good compatibility and strong environmental adaptability. This study firstly introduces the development background and research significance of CSI gesture recognition, highlighting its potential to revolutionize human-computer interaction by enabling seamless control of smart devices without the need for physical contact or dedicated sensors. Furthermore, it emphasizes the societal value of this technology in assisting individuals with mobility impairments, offering an accessible and intuitive interface for digital interaction. Then, it compares and analyzes eight typical gesture recognition systems including PAC-CSI, WiCGesture, WiGNN, WiGesFree, UbiGest, Wi-SFDAGR, WiDual, and CrossFi. It discusses their key technologies, performance and application potential, and analyzes the challenges they currently face, and finally looks at the future trends of these technologies.

Copyright
© 2026 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 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
Series
Advances in Engineering Research
Publication Date
18 February 2026
ISBN
978-94-6463-986-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-986-5_30How to use a DOI?
Copyright
© 2026 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  - Litao Wei
PY  - 2026
DA  - 2026/02/18
TI  - Research on CSI-based Gesture Recognition Technology and Their Typical Applications
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 276
EP  - 284
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_30
DO  - 10.2991/978-94-6463-986-5_30
ID  - Wei2026
ER  -