Department of Information Engineering and Computer Science, University of Trento, Italy
Social Signal Processing (SSP) is a cross-disciplinary field that covers studying social signals that 1) are produced during human-human interaction, 2) play a part in the formation and adjustment of relationships between agents (being humans and embodied interfaces) or provide information about the interlocutors, and 3) can be synthetized in embodied interfaces. They can be related to social (inter)actions, social emotions, social evaluations, social attitudes and social relations. The significant part of SSP deals with automatic detection of social attitudes and relations, such as leadership or hostile attitude from the data captured with a wide array of sensors. During this lecture, I will present several datasets and applications (in small groups, mingling scenarios, egocentric vision based) using multimodal data (audio, video, text) and the state-of-the-art machine/deep learning methods.
End of November 2021 or Beginning of December 2021
More information about this course will be available soon