Passive WiFi sensing is a method of detecting and tracking individuals without requiring them to actively connect to or interact with a WiFi network, instead relying on the opportunistic capture of probe request frames or other ambient WiFi signals that devices broadcast automatically. This approach is significant for the field because it enables unobtrusive, scalable monitoring of crowd density, occupancy, and movement patterns in indoor environments without the need for dedicated hardware worn by subjects or explicit user participation. Key variants include probe-request-based sensing, which exploits the beacon signals emitted by devices scanning for known networks, and channel state information (CSI)-based passive sensing, which analyzes fine-grained signal perturbations caused by human presence and motion in the environment.
Source Papers
- CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework for Queue Counting ↗ — CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework fo
- CSI-Based NTC Using Ambient WiFi: Channel Selection, Topology Control and Traffic Interference ↗ — CSI-Based NTC Using Ambient WiFi: Channel Selection, Topolog
- Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey ↗ — Channel State Information from Pure Communication to Sense a
- Estimating indoor crowd density and movement behavior using WiFi sensing ↗ — Estimating indoor crowd density and movement behavior using
- Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensing in Stationary Crowd Counting ↗ — Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensin
- OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors ↗ — OPERAnet, a multimodal activity recognition dataset acquired
- Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point ↗ — Passive WiFi Radar for Human Sensing Using a Stand-Alone Acc
- Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing ↗ — Time matters: Empirical insights into the limits and challen