WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing

arXiv:2402.09430v1 Announce Type: cross
Abstract: WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in a non-intrusive and device-free manner, benefiting applications as diverse as smart homes and healthcare. However, most previous works focus on single-user sensing, which has limited practicability in scenarios involving multiple users. Although recent studies have begun to investigate WiFi-based multi-user activity sensing, there remains a lack of benchmark datasets to facilitate reproducible and comparable research. To bridge this gap, we present WiMANS, to …

abstract analyze applications arxiv benchmark cs.ai cs.cv cs.mm dataset diverse eess.sp focus free healthcare homes human multiple sensing smart smart homes studies type wifi