Sub-field · 11 papers
WiFi BLE Occupancy Detection
Building occupancy detection and estimation is the central problem, addressed through passive RF-based sensing methods including WiFi CSI, BLE signal analysis, and IoT sensor fusion. Approaches range from device-counting via network packet capture and BLE distance estimation to crowd counting through walls using WiFi signals, often without requiring ground-truth calibration. A recurring application focus is energy management and smart building automation, with recent work emphasizing edge AI deployment for real-time, low-cost inference.
Papers in this community
- Crowd Counting Through Walls Using WiFi 2018 DOI ↗
- A Foundational Edge-AI Sensing Framework for Occupancy-Driven Energy Management in SMOs 2026 DOI ↗
- Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection 2023 DOI ↗
- Fundamentals, Algorithms, and Technologies of Occupancy Detection for Smart Buildings Using IoT Sensors 2024 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 ↗
- Edge-Based Real-Time Occupancy Detection System through a Non-Intrusive Sensing System 2023 DOI ↗
- Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions 2024 DOI ↗
- Estimating indoor crowd density and movement behavior using WiFi sensing 2022 DOI ↗