AIWELL

Artificial Intelligence for Human Well-being

Detail Research lines Projects Publications Collaboration Theses

Date of inception 01 January 2011

Center: eHealth Centre: Research for Human and Planetary Health (UOC-eHealth)

The amount of digital information available on the net has grown exponentially in recent years. As a result, one of the most serious problems in this context is the semantic search for information. There are, today, solutions for searching text data quickly and conveniently, but this problem is far from being resolved in the case of audiovisual data. The AIWELL group develops computer vision and artificial intelligence algorithms to extract information from static images or videos. The group works specifically in: - Algorithms for the automatic recognition of objects in natural images for their subsequent classification and use in spontaneous environments as well as their cognitive interpretation. -Algorithms for the recognition of emotions, gestures and non-verbal language, using images and videos of people, to construct user-friendly human-machine interaction interfaces and analyse social interactions between people. - Applications of vision to the automation of processes that require advanced artificial intelligence. This UOC research group is part of the SGR research group "Artificial Intelligence for Human Well-being - Complex Systems at IN3”, under reference "2021 SGR 01367".