Behavior Recognition Based on Wi-Fi CSI: Part 2

The four articles in this special section focus on behavior recognition-based Wi-Fi channel state estimation(CSI). Wi-Fi CSI-based human behavior recognition has become a promising research area in recent years. The rationale is that different human behaviors introduce different multi-path distortions in Wi-Fi CSI, which presents several unique advantages: unaffected by external light, with better coverage (even supporting through-wall sensing), and user privacy preservation. There are also numerous research challenges of CSI-based human behavior recognition, including behavior recognition model/theory using Wi-Fi CSI, Wi-Fi CSI data mining, quality-enhanced and adaptive sensing models with Wi-Fi CSI, behavior recognition with individual differences, the flexibility of such CSI-based behavior recognition systems, and so on.