STARS

The STARS research project-team focuses on the design of computer vision methods for real-time understanding of social interactions observed by various sensors. Our objective is to propose new algorithms to analyze the behavior of people suffering from behavioral disorders, in order to improve their quality of life. We study long-term spatio-temporal interactions in their natural environment. We address this challenge by proposing novel deep-learning architectures to model behavioral traits such as facial expression, gaze, gestures, body behavior, and body language. To cope with the limited amount of available data and the privacy issues of medical data, we propose data generation for data augmentation and anonymization. Another important challenge is to make the link between collected data, medical diagnosis, and ultimately treatments. To validate our research we work closely with our clinical partners, in particular those of the Nice Hospital.