Occupant Tracking

Many smart home applications would like to know the room location of occupants, but tracking people in a convenient and practical way is notoriously difficult. We are developing several new techniques for room location tracking by scanning a person's identity at the instant they cross the doorway threshold. One solution called the Doorjamb tracking system requires 1 sensor per doorway and can track the room location of multiple occupants with over 90% accuracy without requiring any RF transmitters or wearable tags, and without the use of privacy-invasive sensors such as cameras or microphones.


Juhi Ranjan and Kamin Whitehouse. An RF Doormat for Tracking People's Room Locations. To appear in The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'13). September 8-12, 2013. Zurich, Switzerland.
(18% acceptance rate)

Timothy Hnat, Erin Griffiths, Raymond Dawson, and Kamin Whitehouse. Doorjamb: Unobtrusive Room-level Tracking of People in Homes using Doorway Sensors. The 10th ACM Conference on Embedded Networked Sensing Systems (SenSys'12). November 7-9, 2012, Toronto, Canada.
(19% acceptance rate)

Vijay Srinivasan, John Stankovic and Kamin Whitehouse. Using Height Sensors for Biometric Identification in Multi-resident Homes. In Proceedings of the 8th International Conference on Pervasive Computing (Pervasive). Helsinki, Finland, May 17-20, 2010.
(23% acceptance rate)