Carnegie Mellon University
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Segmentation and Classification of Meetings Using Multiple Information Streams

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journal contribution
posted on 2003-01-01, 00:00 authored by Paul E. Rybski, Satanjeev Banerjee, Fernando de la Torre, Carlos Vallespi, Alexander RudnickyAlexander Rudnicky, Manuela M. Veloso

We present a meeting recorder infrastructure used to record and annotate events that occur in meetings. Multiple data streams are recorded and analyzed in order to infer a higher-level state of the group’s activities. We describe the hardware and software systems used to capture people’s activities as well as the methods used to characterize them.


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