A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multi–Occupant Movement Tracking in Smart Home Environments
Recognizing the movement and activities of an individual in an indoor space is a key functionality of smart homes, as a prerequisite to providing services in support of the occupant. Focusing on the particular case of smart homes with multiple occupants, we developed a location-and-movement recognition method using many inexpensive passive infrared (PIR) motion sensors and, a small number of, more costly RFID readers. In our method, PIR sensors, placed throughout the space, recognize movement while RFID readers, placed in key locations, recognize tags worn by individuals as they pass through their coverage area. The RFID readings are used to disambiguate the trajectories constructed based on PIR sensor readings. We evaluate through simulations the effectiveness of our method under different occupancy conditions.
Multi–Occupant Movement Tracking in Smart Home Environments
Recognizing the movement and activities of an individual in an indoor space is a key functionality of smart homes, as a prerequisite to providing services in support of the occupant. Focusing on the particular case of smart homes with multiple occupants, we developed a location-and-movement recognition method using many inexpensive passive infrared (PIR) motion sensors and, a small number of, more costly RFID readers. In our method, PIR sensors, placed throughout the space, recognize movement while RFID readers, placed in key locations, recognize tags worn by individuals as they pass through their coverage area. The RFID readings are used to disambiguate the trajectories constructed based on PIR sensor readings. We evaluate through simulations the effectiveness of our method under different occupancy conditions.
Multi–Occupant Movement Tracking in Smart Home Environments
Lect.Notes Computer
Geissbühler, Antoine (editor) / Demongeot, Jacques (editor) / Mokhtari, Mounir (editor) / Abdulrazak, Bessam (editor) / Aloulou, Hamdi (editor) / Azghandi, Masoud Vatanpour (author) / Nikolaidis, Ioanis (author) / Stroulia, Eleni (author)
International Conference on Smart Homes and Health Telematics ; 2015 ; Geneva, Switzerland
2015-05-30
6 pages
Article/Chapter (Book)
Electronic Resource
English
Tracking , Activity recognition , Smart homes Computer Science , Special Purpose and Application-Based Systems , User Interfaces and Human Computer Interaction , Information Systems Applications (incl. Internet) , Artificial Intelligence , Image Processing and Computer Vision , Information Storage and Retrieval
Occupant classification invariant to seat movement for smart airbag
| Tema Archive | 2011
A Classification-Based Occupant Detection Method for Smart Home Using Multiple-WiFi Sniffers
| Springer Verlag | 2019
| British Library Conference Proceedings | 1999