WiFi CSI Sensing for Machine Activity Detection in Industrial Environments

The use of radio frequency signals for activity detection has gained significant research interest, particularly through WiFi signals based on the IEEE 802.11 standard. These signals, widely available due to commercial devices, enable applications using channel state information (CSI), which captures amplitude attenuation and phase shift as signals interact with people and objects. Most studies focus on human activity detection in small indoor spaces, leveraging CSI for recognition, estimation, and tracking [1] .

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Published
2025-05-26
DOI
https://doi.org/10.1109/icmlcn64995.2025.11140205
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
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article

WiFi CSI Sensing for Machine Activity Detection in Industrial Environments

J.M. Matías, Iker Sobrón, Ińaki Eizmendi, Elizabet De Armas
Structural Health Monitoring Techniques
article

WiFi CSI Sensing for Machine Activity Detection in Industrial Environments

J.M. Matías, Iker Sobrón, Ińaki Eizmendi, Elizabet De Armas
article en

Abstract

The use of radio frequency signals for activity detection has gained significant research interest, particularly through WiFi signals based on the IEEE 802.11 standard. These signals, widely available due to commercial devices, enable applications using channel state information (CSI), which captures amplitude attenuation and phase shift as signals interact with people and objects. Most studies focus on human activity detection in small indoor spaces, leveraging CSI for recognition, estimation, and tracking [1] .

University of the Basque Country (ES), Centro Universitario Anglo Mexicano (MX)
Openalex Percentile: Top 75%
Structural Health Monitoring Techniques
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