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Author Olguín, Daniel Olguín ♦ Gloor, Peter A. ♦ Pentland, Alex Sandy
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword High Level Description ♦ Physical Proximity ♦ Speech Activity ♦ Objective Group Performance Metric ♦ Present Experimental Result ♦ Physical Activity ♦ Individual Personality Trait ♦ Group Behavior ♦ Social Network Attribute ♦ Human Behavior ♦ Wearable Sensor ♦ Low Level Data ♦ Face-to-face Interaction ♦ Sensor Data
Description 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Institution in Proceedings of AAAI Spring Symposium on Human Behavior Modeling