Invited speaker
Prof. Jeffrey Cohn – University of Pittsburgh
Biography: Jeffrey Cohn is Professor of Psychology and Psychiatry at the University of Pittsburgh and Adjunct Professor of Computer Science at the Robotics Institute at Carnegie Mellon University. He leads interdisciplinary and inter-institutional efforts to develop advanced methods of automatic analysis and synthesis of facial expression and prosody and applies those tools to research in human emotion, social development, nonverbal communication, psychopathology, and biomedicine. His research has been supported by grants from the U.S. National Institutes of Health, National Science Foundation, Autism Foundation, Office of Naval Research, and Defense Advanced Research Projects Agency
Title: Automated Face Analysis and Synthesis for Health Informatics
Abstract: 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 and synthesis (AFAS), a central pillar of affective computing for health informatics. I will present 1) human-observer based approaches to measurement that inform AFAS; 2) current state of the art in detecting occurrence and intensity of facial actions; 3) applications in face-to-face interaction, emotion, depression severity assessment, and physical pain measurement; 4) expression transfer, and 5) new directions in body pose detection and analysis.