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Abstract: Developing emotionally intelligent machines with natural perceptual interfaces is one of the ultimate goals of modern computer science and artificial intelligence research. The aim is to bring emotional intelligence to various human-computer-interaction. This talk will focus on analyzing micro-expressions which are subtle, brief and involuntary facial movements that reveal the emotions in high-stake situation that people is trying to conceal his/her true feelings. The data set collection, supervised recognition and unsupervised spotting of spontaneous micro-expression are presented. In addition, separable modal learning will be discussed for multi-modal learning & separate-modal prediction scenarios.

Speaker: Guoying Zhao

Affiliation: Professor of Computer Science and Engineering, University of Oulu

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki