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

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Research on WiFi CSI Gesture Recognition Technology and Application Prospects

Authors
Jinming Wu1, *, Buwen Zhang2
1Electronic Information Engineering, Dalian Maritime University, 116026, Liaoning, China
2School of Communication & Information Engineering, Shanghai University, 200444, Shanghai, China
*Corresponding author. Email: rem@dlmu.edu.cn
Corresponding Author
Jinming Wu
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_34How to use a DOI?
Keywords
WiFi sensing; Channel State information (CSI); Gesture Recognition; Contactless Interaction; Multimodal fusion
Abstract

With the rapid development of 5G and IoT technologies, contactless human-machine interaction technology has ushered in significant opportunities. WiFi Channel State Information (CSI) serves as an emerging wireless sensing method, enabling precise gesture recognition without the need for additional hardware support. It offers advantages such as low deployment costs, strong privacy protection, and high environmental adaptability. This paper reviews the current mainstream WiFi CSI gesture recognition technologies, focusing on the technical principles and performance of representative methods such as AirFi, Wi-AM, Multimodal Fusion GMM, WiHF, and Cross-domain Gesture. Additionally, it delves into the key challenges faced in the field, including environmental dependency, high data costs, insufficient real-time performance, and user variability, and proposes corresponding solutions. Finally, it explores the future development potential and research trends of WiFi CSI gesture recognition in practical application scenarios such as smart homes, healthcare, and gaming and entertainment. This paper systematically reviews the research progress and challenges in WiFi CSI-based gesture recognition technology, providing a technical development framework and future research directions for the field.

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_34How 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  - Jinming Wu
AU  - Buwen Zhang
PY  - 2026
DA  - 2026/02/18
TI  - Research on WiFi CSI Gesture Recognition Technology and Application Prospects
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 315
EP  - 323
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_34
DO  - 10.2991/978-94-6463-986-5_34
ID  - Wu2026
ER  -