Full-body movement is a major nonverbal channel human beings exploit to communicate and to interact with each other. Movement is involved, for example, in the expression of emotions, and plays a crucial role in group phenomena. This talk will address technologies for real-time automated analysis of movement qualities, i.e., it will present computational approaches to distinguish how a movement is performed, e.g., suddenly, fluently, hesitantly, and so on. The focus will especially be on systems for capturing and representing the motoric behavior of individuals, for extracting features of movement quality, and for segmenting a movement stream into meaningful units. Application areas include technologies for rehabilitation, education, and well-being.
21/05/2024
Speaker: Prof. Gualtiero Volpe
When & Where: Tue 21 May at 11:00 AM, Room 2L, ground floor, viale Castro Laurenziano
Gualtiero Volpe received his M.Sc. degree in computer engineering in 1999 and the Ph.D. in electronic and computer engineering in 2003 from the University of Genoa, Italy. Since 2014, he is an Associate Professor with the Department of Computer Science and Technology, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at University of Genoa. His research interests include intelligent and affective human-machine interaction, social signal processing, modeling and real-time analysis of expressive content, and multimodal systems, with a special focus on computational approaches for real-time analysis of human full-body movement.