Research overview
Computational Aesthetics
In this theme we explore the aesthetic aspects of human communicative behavior. For example, what are the mechanisms of communication between a musical conductor and an orchestra, how do the musicians interpret the conductor motion? Why do humans get stimulation from watching a dancer? And, how can a completely different embodiment, e.g., a swarm of drones, express feelings and attitudes while performing on stage? We investigate these questions in collaboration with a range of performing arts professionals; musicians, conductors, and dancers.
AI for Life Science
Under construction
In this area we develop models of how humans perceive and produce non-verbal communication. It can e.g. be used for computerized analysis of cognitive decline or motor disease in infants.
AI for Animal Science
Under construction
In this area we develop models of how animals perceive and produce non-verbal communication. This can be used both to gain understanding about the mechanisms underlying animal, e.g. dog, communication and behavior. It can also be used to design systems where behavior understanding is used, e.g. for signs of pain in animals such as horses.
An important current strand of research is our work on creating accurate 3D pose and shape models of horses and dogs.
Embodied AI
In this area we develop methodologies for robots, cars, dialogue systems and other autonomous agents to perceive the world and create meaningful computer representations of it through sensors, primarily vision. My earlier research concerned affordances, object-action recognition and robot learning from human demonstration. Recent projects have a more general Computer Vision and Machine Learning focus.
