Capturing Individual and Group Behavior with Wearable Sensors
Published 1 January 2009
D. Olguı́n, Peter A. Gloor, Alex Pentland
Citations118
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TL;DR
It is shown how to obtain high level descriptions of human behavior in terms of physical activity, speech activity, face-to-face interaction, physical proximity, and social network attributes from sensor data.
Abstract
We show how to obtain high level descriptions of human behavior in terms of physical activity, speech activity, face-to-face interaction (f2f), physical proximity, and social network attributes from sensor data. We present experimental results that show that it is possible to identify individual personality traits as well as subjective and objective group performance metrics from low level data collected using wearable sensors.
Keywords
Social SciencesComputer Science
Social network analysis methods and applications
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