community · 7 papers
WiFi CSI Human Sensing
Wi-Fi Channel State Information (CSI) sensing for human activity recognition—including gesture detection, occupancy monitoring, and multi-person tracking—is the central problem, addressed through signal processing and machine learning applied to CSI measurements from commodity Wi-Fi hardware. Work spans dataset collection, end-to-end sensing frameworks, and the IEEE 802.11bf standardization effort aimed at formalizing Wi-Fi sensing capabilities. A recurring concern is improving generalizability across domains and environments while reducing computational overhead through lightweight learning approaches.
Papers in this community
- A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels 2023 DOI ↗
- Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi 2019 DOI ↗
- MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation 2023 DOI ↗
- IEEE 802.11bf WLAN Sensing Procedure: Enabling the Widespread Adoption of WiFi Sensing 2024 DOI ↗
- A Survey on Green Wireless Sensing: Energy-Efficient Sensing via WiFi CSI and Lightweight Learning 2026 DOI ↗
- Channel State Information (CSI) Amplitude Coloring Scheme for Enhancing Accuracy of an Indoor Occupancy Detection System Using Wi-Fi Sensing 2024 DOI ↗
- CSI-Chain: A Complete End-to-End Framework for WiFi CSI Sensing 2026 DOI ↗