People counting refers to the task of estimating or determining the number of individuals present in a given environment using Channel State Information (CSI) derived from Wi-Fi signals, without requiring subjects to carry any device or cooperate actively with the system. It is a fundamental problem in wireless human sensing research because it serves as a prerequisite or complement to more complex tasks such as localization, activity recognition, and crowd management, enabling passive, infrastructure-light occupancy monitoring. Key variants include binary occupancy detection (distinguishing zero versus one or more persons), discrete multi-class counting (classifying exact counts within a bounded range), and regression-based approaches that estimate continuous crowd density, with performance typically evaluated across varying room sizes, antenna configurations, and channel bandwidths.
Source Papers
- A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels ↗ — A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Cha
- A Novel Device-Free Counting Method Based on Channel Status Information ↗ — A Novel Device-Free Counting Method Based on Channel Status
- A Tutorial on Privacy, RCM and Its Implications in WLAN ↗ — A Tutorial on Privacy, RCM and Its Implications in WLAN
- A survey on CSI-based Wi-Fi sensing datasets and models with a focus on reproducibility ↗ — A survey on CSI-based Wi-Fi sensing datasets and models with
- An Overview on IEEE 802.11bf: WLAN Sensing ↗ — An Overview on IEEE 802.11bf: WLAN Sensing
- CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework for Queue Counting ↗ — CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework fo
- Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensing in Stationary Crowd Counting ↗ — Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensin
- MMCOUNT: Stationary Crowd Counting System Based on Commodity Millimeter-Wave Radar ↗ — MMCOUNT: Stationary Crowd Counting System Based on Commodity
- OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors ↗ — OPERAnet, a multimodal activity recognition dataset acquired
- Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions ↗ — Occupancy Prediction in IoT-Enabled Smart Buildings: Technol
- Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point ↗ — Passive WiFi Radar for Human Sensing Using a Stand-Alone Acc
- Privacy-preserving WiFi fingerprint-based people counting for crowd management ↗ — Privacy-preserving WiFi fingerprint-based people counting fo
- RSSI-Assisted CSI-Based Passenger Counting with Multiple Wi-Fi Receivers ↗ — RSSI-Assisted CSI-Based Passenger Counting with Multiple Wi-
- SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing ↗ — SenseFi: A library and benchmark on deep-learning-empowered
- WiFi as Infrastructure: Valuation Impact of CSI Sensing on Smart Buildings and REIT Portfolios ↗ — WiFi as Infrastructure: Valuation Impact of CSI Sensing on S