Facial Expression Recognition Using Temporal Templates

To make human–computer interaction (HCI) more natural and friendly, it would be beneficial to give computers the ability to recognize situations the same way a human does. Naturally, people use a spontaneous combination of face, body gesture and speech to express their feelings. In this paper, we simulate human perception of emotion with emotion related information from facial expression and facial expression recognition based upon ITMI and QIM, which can be seen as an extension to temporal templates. The system was tested on two different databases, the eNterface‘05 and the Cohn-Kanade face database and the recognition accuracy of our systems 71.8 % on Cohn- Kanade and 39.27% on eNterface’05, compared to the published results in the literature.