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

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Research and Analysis of Behavioral Gesture Recognition Technology Based on Wireless Perception

Authors
Jiacheng Li1, *
1School of Artificial Intelligence, Hubei University, Wuhan, Hubei, 430062, China
*Corresponding author. Email: 202431121010006@stu.hubu.edu.cn
Corresponding Author
Jiacheng Li
Available Online 18 February 2026.
DOI
10.2991/978-94-6463-986-5_31How to use a DOI?
Keywords
WiFi-CSI; Wireless perception; Human activity recognition
Abstract

With the rapid development and continuous progress of wireless communication technology, the role played by wireless perception technology in the field of behavior and gesture recognition has become increasingly important and prominent. Therefore, this paper summarizes several current behavior and attitude recognition technologies based on wireless perception and systematically combs and analyzes them. It is found that the recognition accuracy of CeHAR is higher than that of the best recognition method before. AFEE-MatNet can significantly shorten the training time and address the limitations of retrained models using Wi-Fi CSI data in new environments. CNN-ABLSTM achieves high recognition accuracy in a variety of environments. The average accuracy of DPWiT for the localization of the start and end time and category of the activity far exceeds that of the baseline model. WiPhase reduces the computational complexity and the number of model parameters. Therefore, the above methods can be flexibly selected according to the performance requirements of different application scenarios.

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_31How 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  - Jiacheng Li
PY  - 2026
DA  - 2026/02/18
TI  - Research and Analysis of Behavioral Gesture Recognition Technology Based on Wireless Perception
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 285
EP  - 293
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_31
DO  - 10.2991/978-94-6463-986-5_31
ID  - Li2026
ER  -