Gwenn Englebienne is assistant professor at the Human Media Interaction group of the University of Twente. His interests are in the understanding and automatic perception of human behaviour. This ranges from the recognition of the activity of elderly using simple binary sensors installed in their house, to the evaluation of crowds' reactions to performances and to recognizing and adapting to the behaviour of people interacting with a social robot.
As humans, we exhibit very complex and varied behaviour, which is adapted to our physical environment, our social environment, the context we are in, etc. Computers are only beginning to scratch the surface of this exciting world, yet as they become more pervasive in our environment, correctly assessing the humans' context and social situation is becoming crucial to the interfacing between humans and computers. In my research, I focus on using machine learning and computer vision techniques to accurately recognizing this context.