Indoor occupancy monitoring refers to the use of wireless sensing techniques, particularly WiFi-based Channel State Information (CSI) analysis, to detect, count, or track the presence and movement of people within enclosed spaces without requiring individuals to carry any dedicated devices. This capability is significant for the field because it enables passive, device-free situational awareness that can support applications such as energy management, smart building automation, and crowd safety, all while preserving user privacy. Key variants range from binary occupancy detection (occupied versus unoccupied) to fine-grained crowd counting as demonstrated by systems like FreeCount, and increasingly leverage ambient WiFi traffic rather than dedicated probe transmissions, reducing infrastructure overhead and improving real-world deployability.
Source Papers
- CSI-Based People Counting in WiFi Networks: Leveraging Occupancy Detection ↗ — CSI-Based People Counting in WiFi Networks: Leveraging Occup
- Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions ↗ — Occupancy Prediction in IoT-Enabled Smart Buildings: Technol