Chiba University, JAPAN
We are proposing the method of emotion monitoring using physiological signals such as RR intervals and blood volumes obtained by analyzing hemoglobin concentration from facial color images. The emotion monitoring has a great potential in areas such as market research, safety measure, medical, and robot systems. Recently, the most popular method of emotion monitoring is based on the physiological signals. However, the previous studies is not practical due to using special instruments such as electrodes to obtain physiological signals. Our proposed method uses simple RGB camera. Using 27 kind of features calculated from the physiological signals from the camera, we classified five different emotional states (amusement, anger, disgust, sadness and surprise). As a result, we could classify emotions with 94% accuracy by selecting appropriate features.
Norimichi Tsumura was born in Wakayama, Japan, on April 1967. He received the B.E., M.E. and D.E. in applied physics from Osaka University in 1990, 1992 and 1995, respectively. He moved to the Department of Information and Image Sciences, Chiba University in April 1995, as assistant professor. He is currently associate professor since 2002. He was visiting associate professor in University of Rochester from March 1999 to January 2000. He was visiting researcher in Columbia University from April 2012 to March 2003. He is the fellow of the IS&T (Society for Imaging Science and Technology).He is interested in the color image processing, material appearance, computer vision, computer graphics and biomedical optics.