Wi-Fi sensing is a passive, infrastructure-light technique that leverages Channel State Information (CSI) extracted from standard Wi-Fi signals to infer physical phenomena in an environment, such as human presence, occupancy count, movement, and activity, without requiring dedicated sensors or wearable devices. It matters because it enables unobtrusive, low-cost, and privacy-preserving monitoring by repurposing commodity wireless hardware already deployed in homes, offices, and public spaces. Key variants include device-based and device-free sensing, with applications ranging from binary occupancy detection and crowd counting to fine-grained gesture and activity recognition, each differing in whether the subject carries a Wi-Fi device and in the signal features — such as CSI amplitude, phase, or derived representations — used as input to detection or learning pipelines.
Source Papers
- An Overview on IEEE 802.11bf: WLAN Sensing ↗ — An Overview on IEEE 802.11bf: WLAN Sensing
- Channel State Information (CSI) Amplitude Coloring Scheme for Enhancing Accuracy of an Indoor Occupancy Detection System Using Wi-Fi Sensing ↗ — Channel State Information (CSI) Amplitude Coloring Scheme fo
- Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey ↗ — Channel State Information from Pure Communication to Sense a
- EasyCount: Crowd Counting Based on Easy Deployment Using Commodity Wi-Fi ↗ — EasyCount: Crowd Counting Based on Easy Deployment Using Com
- Enabling ISAC on Low-Cost Devices via Spatial-Channel Estimation With a Single-RF Chain ↗ — Enabling ISAC on Low-Cost Devices via Spatial-Channel Estima
- Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensing in Stationary Crowd Counting ↗ — Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensin
- RSSI-Assisted CSI-Based Passenger Counting with Multiple Wi-Fi Receivers ↗ — RSSI-Assisted CSI-Based Passenger Counting with Multiple Wi-