AI RESEARCH
AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI
arXiv CS.LG
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ArXi:2605.20649v1 Announce Type: cross Wi-Fi-based human activity recognition (HAR) has emerged as a promising approach for contactless sensing, leveraging channel state information (CSI) collected from wireless transceivers. While existing studies have primarily concentrated on single-user scenarios, real-world deployments often involve multi-user settings where concurrent users' movements induce overlapping CSI patterns that challenge conventional classification methods. To address this limitation, this paper.