Jue Wang, Guanling Chen, and David Kotz. A meeting detector and its applications. Technical Report TR2004-486, Dartmouth Computer Science, March 2004.

Abstract: In this paper we present a context-sensing component that recognizes meetings in a typical office environment. Our prototype detects the meeting start and end by combining outputs from pressure and motion sensors installed on the chairs. We developed a telephone controller application that transfers incoming calls to voice-mail when the user is in a meeting. Our experiments show that it is feasible to detect high-level context changes with ``good enough'' accuracy, using low-cost, off-the-shelf hardware, and simple algorithms without complex training. We also note the need for better metrics to measure context detection performance, other than just accuracy. We propose several metrics appropriate for our application in this paper. It may be useful, however, for the community to define a set of general metrics as a basis to compare different approaches of context detection.

Keywords: project-solar,context-aware


PDF (344K)

Copyright © 2004 by the authors.

See also later version wang:meeting.