University of Pittsburgh

Automated Face Analysis and Synthesis for Affective Computing

Professor of Psychology and Psychiatry
Date: 
Friday, March 2, 2018 - 12:30pm - 1:30pm

  Facial expression communicates emotion, intention, and physical state, and regulates interpersonal behavior.  Manual measurement is labor intensive and difficult to scale. Convergence of computer vision, machine learning, and behavioral science has made possible automated face analysis (AFA), a central pillar of affective computing.  I will present 1) human-observer based approaches to measurement that inform AFA; 2) current state of the art in detecting occurrence and intensity of facial actions; 3) applications in face-to-face interaction, emotion, and psychopathology; 4) expression transfer, and 5) new directions in body pose detection and analysis.

Bio:  Jeffrey Cohn is Professor of Psychology and Psychiatry at the University of Pittsburgh and Adjunct Professor at the Robotics Institute, Carnegie Mellon University. He leads interdisciplinary and inter-institutional efforts to develop advanced methods of automatic analysis and synthesis of face and body movement and applies them to research in human emotion, communication, psychopathology, and biomedicine. His research program is supported by grants from the U.S. National Institutes of Health and U.S. National Science Foundation among other sponsors. He Chairs the Steering Committee of the IEEE International Conference on Automatic Face and Gesture Recognition (FG) and has served as General Chair of international conferences on automatic face and gesture recognition, affective computing, and multimodal interfaces.  For further information, please see http://jeffcohn.net

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