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In this paper the authors present a context-sensing component that recognizes meetings in a typical office environment. The prototype detects the meeting start and end by combining outputs from pressure and motion sensors installed on the chairs. They developed a telephone controller application that transfers incoming calls to voice-mail when the user is in a meeting. The 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.
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