Imagen del grupo de investigación

Constituido el 01 de enero de 2011

Responsable: Àgata Lapedriza Garcia

Centro: eHealth Center

Página web: https://aiwell.uoc.edu/

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". 

Investigadores/as

Clasificaciones

  • Área de Aplicación: Tecnologías de la información y la comunicación
  • Área del Ministerio: CIÈNCIES DE LA COMPUTACIÓ I INTEL·LIGÈNCIA ARTIFICIAL
  • Área UNESCO: Lenguajes algorítmicos, Informática, Inteligencia artificial

Colaboradores/as

Especialidades predominantes (top 10) Obtenidas a partir de las publicaciones help
Obtenidas a partir de las publicaciones

Las especialidades temáticas mostradas se han obtenido mediante la aplicación de modelos de inteligencia artificial, obtenidos como resultado del Proyecto Hércules.

El listado puede contener errores. En proceso de evaluación y mejora. Compartido para recoger sugerencias de la comunidad.

  1. Computer Vision and Pattern Recognition (Computer Science) Filtrar
  2. Artificial Intelligence (Computer Science) Filtrar
  3. Human-Computer Interaction (Computer Science) Filtrar
  4. Neurology (Neuroscience) Filtrar
  5. Medical Physics (Physics and Astronomy) Filtrar
  6. Electrical and Electronic Engineering (Engineering) Filtrar
  7. Radiology (Medicine) Filtrar
  8. Education (Social Sciences) Filtrar
  9. Multimedia (Computer Science) Filtrar
  10. Statistics and Probability (Mathematics) Filtrar

Componentes en otros momentos (16)