Comprehensive Review of Typical Methods of Wireless Sensing

DOI

10.2991/978-94-6463-823-3_15How to use a DOI?

Keywords

Wi-Fi CSI; Health monitoring; Gesture recognition; sleep monitoring; non-contact sensing

Abstract

This article explores three studies dealing with the application of Wi-Fi Channel State Information (CSI) to the field of intellectual perception, focusing on its core technology for monitoring the daily lives of the elderly, detecting sleep disorders, and applying gesture recognition with an open set of parameters. CSI records the amplitude and phase of the signal of several applicants in a Wi-Fi channel, providing a comprehensive view of the amplitude and phase of the signal. The medium of propagation includes reflection, scattering and the impact of obstacles. CSI may provide detailed information about the distribution terms.Wilife’s human activity recognition system (Har) uses Wi-Fi signals to conduct long-term monitoring of human habits, contactless analysis of activity patterns and abnormal behavior, the VI-actigraph system focuses on sleep monitoring, and a combination of Wave analysis techniques allows effective recognition of breathing and movement disorders a widow. The viopen platform addresses the issue of diversity in recognizing Wi-Fi gestures using CSI, as well as improving classification accuracy by quantifying CSI uncertainty. The results of the experiments show that these systems have broad prospects for application in health monitoring and other areas and serve as a technical basis for future research. This article systematically analyzes the key technologies of each system. At the same time, she is considering the potential direction of applying WiFi CSI to an intelligent sensor in the future.

Copyright

© 2025 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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TY  - CONF
AU  - Ruilin Su
PY  - 2025
DA  - 2025/08/31
TI  - Comprehensive Review of Typical Methods of Wireless Sensing
BT  - Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)
PB  - Atlantis Press
SP  - 165
EP  - 171
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-823-3_15
DO  - 10.2991/978-94-6463-823-3_15
ID  - Su2025
ER  -