A sensor-fusion approach for meeting detection


Jue Wang, Guanling Chen, and David Kotz. A sensor-fusion approach for meeting detection. Proceedings of the MobiSys 2004 Workshop on Context Awareness, 7 pages. ACM, June 2004. ©Copyright ACM. Revision of wang:meeting-tr.


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.

Citable with [BibTeX]

Projects: [solar]

Keywords: [context-aware]

Available from the author: [bib] [pdf]
This pdf is the only definitive version available.

[Kotz research]