Multi-User Low Intrusive Occupancy Detection
AbstractSmart spaces are those that are aware of their state and can act accordingly. Among the central elements of such a state is the presence of humans and their number. For a smart office building, such information can be used for saving energy and safety purposes. While acquiring presence information is crucial, using sensing techniques that are highly intrusive, such as cameras, is often not acceptable for the building occupants. In this paper, we illustrate a proposal for occupancy detection which is low intrusive; it is based on equipment typically available in modern offices such as room-level power-metering and an app running on workers’ mobile phones. For power metering, we collect the aggregated power consumption and disaggregate the load of each device. For the mobile phone, we use the Received Signal Strength (RSS) of BLE (Bluetooth Low Energy) nodes deployed around workspaces to localize the phone in a room. We test the system in our offices. The experiments show that sensor fusion of the two sensing modalities gives 87–90% accuracy, demonstrating the effectiveness of the proposed approach. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Pratama, A.R.; Widyawan, W.; Lazovik, A.; Aiello, M. Multi-User Low Intrusive Occupancy Detection. Sensors 2018, 18, 796.
Pratama AR, Widyawan W, Lazovik A, Aiello M. Multi-User Low Intrusive Occupancy Detection. Sensors. 2018; 18(3):796.Chicago/Turabian Style
Pratama, Azkario R.; Widyawan, Widyawan; Lazovik, Alexander; Aiello, Marco. 2018. "Multi-User Low Intrusive Occupancy Detection." Sensors 18, no. 3: 796.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.