Learning to Detect User Activity and Availability from a Variety of Sensor Data

Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions of activity and availability are learned from labeled sensor data based on a Bayesian approach. The higher-level information on the users is then automatically derived from low-level sensor information in order to facilitate informal ad hoc communications between peer workers in an office environment.

• Type: Conference
• Year: 2004
• Where: PERCOM
• Authors: Dave Snowdon, Jean-Luc Meunier, Martin Mühlenbrock, Oliver Brdiczka
• Keywords: Informal Ad Hoc, Low-level Sensor Information, PERCOM 2004, Sensor Data, Wireless Networks