community · 11 papers
WiFi Occupancy Detection and Counting
Building occupancy estimation and crowd counting in smart environments is the central problem, addressed primarily through passive, device-free sensing using WiFi (including CSI-based methods) and Bluetooth/BLE signals. Research spans both presence/absence detection and finer-grained occupant counting, often without requiring dedicated hardware on individuals or ground-truth calibration data. A recurring focus is deploying these approaches on low-cost, IoT-compatible infrastructure across residential, commercial, and multi-zone building settings.
Papers in this community
- Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT 2018 DOI ↗
- Building occupancy estimation and detection: A review 2018 DOI ↗
- Accurate occupancy estimation with WiFi and bluetooth/BLE packet capture 2019 DOI ↗
- A low-cost BLE-based distance estimation, occupancy detection and counting system 2021 DOI ↗
- CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration 2022 DOI ↗
- FreeCount: Device-Free Crowd Counting with Commodity WiFi 2017 DOI ↗
- Crowd Counting Through Walls Using WiFi 2018 DOI ↗
- Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions 2024 DOI ↗
- Implementing Wi-Fi CSI-based room-level occupancy Estimation: an experimental study in multi-zone residential environments 2025 DOI ↗
- Fundamentals, Algorithms, and Technologies of Occupancy Detection for Smart Buildings Using IoT Sensors 2024 DOI ↗
- CSI-Based People Counting in WiFi Networks: Leveraging Occupancy Detection 2024 DOI ↗