Understanding human behavior by using both computer vision and signal processing has become of major interest since the emergence of numerous applications in various domains, such as social signal processing, affective computing or human-computer interaction.
The key idea of a quantitative modeling and understanding of human behaviors through computational models is a long-term goal. Recent advances in mathematics, computer science, signal processing, machine learning (including Big Data) and robotics now make it possible to consider the development of tools or systems for human-human interaction or human-computer interaction analysis. This will break a new ground for future studies of human behaviors through the lens of complementary domains such as social neuroscience, psychology, sociology as well as psychiatry.
Deadline for application 26 May 2016.