Deep learning and AI methods to predict human behavior in various contexts

We automatically analyse using Deep learning and advanced AI systems visual and multi-modal data related to humans to perform automatic predictions about human behaviour in different scenarios, considering multi-disciplinary knowledge.

Examples of developed applications include virtual try-ones, emotional evolution of children with stroke in neuro-rehabilitation; emotional analysis in mental health for schizophrenia patients, young people, and during pregnancy; supported diagnosis in children with attention deficit disorder; risk event recognition for people with reduced autonomy, including the elder and cognitive impairments; automatic recognition of sign language; static and dynamic body analysis for mattress recommendation; physiotherapy/rehabilitation /fitness conditioning.