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Human Sensing
Head: Takeo Kanade, Fernando De la Torre Frade, and Jessica K. Hodgins
Contact: Fernando De la Torre Frade
Lab Homepage
Overview
The goal of the Human Sensing Lab is to develop new machine learning algorithms to model and understand human behavior from sensory data (e.g. video, motion capture, audio). Our work is motivated by applications in the fields of human health, biometrics and human-machine interface. For more information see www.humansensing.cs.cmu.edu