The COBOL project - Communication with Emotional Body Language
Because emotions, gestures, and facial expressions are linked up in the brain, even people who were born deaf and blind will turn down the corners of their mouths to express sadness and smile to show that they are happy. Visible signals of our feelings are not always sent out subconsciously; rather we often know exactly what we’re doing when we use them. We wrinkle up our noses at a bad-taste joke, nod attentively to speakers and lean comfortably back in our chairs during negotiations in order to demonstrate our self-confidence. These non-verbal messages are also useful when it comes to judging other people. When we meet a stranger, we already know who we are dealing with by our first glance at their posture and movements. Body language ¬¬- the mirror of the soul Although body language is an important element of communication, there has hardly been any scientific research into it, until now. It’s a pity, because knowledge could help us to understand certain illnesses, like autism, for example, where people no longer react to their environment, Parkinson’s disease, with its classic muscular tension and stiffness in gestures and facial expressions or Alzheimer’s, which is characterised by progressive dementia. It was for this reason that, in 2006, the European Commission launched the COmmunication with Emotional BOdy Language (COBOL) project, in the 6th EU framework programme. The Commission will be supporting this Specific Targeted Research Project for three years, to the tune of €1.8 million. The French CNRS, the Swiss Federal Institute of Technology Zurich (ETHZ), the German University of Tubingen and the Weizmann Institute of Science from Israel are all working together, under the overall coordination of Tilburg University, The Netherlands, which is leading and managing the research team. As part of the project, psychologists, computer scientists, and engineers are contributing their specific knowledge to researching emotional postures and movements. The aim is to develop tools to describe and measure how we perceive body language and how we express emotions in the way we move our bodies. For this purpose, researchers are collecting data on behaviour and image material and developing methods for syntheses and simulation of body language for use in communications technology. They are also investigating how the recently discovered specialised networks of the cerebral cortex, the most important interconnection organ of our central nervous system, processes the body’s own influences and environmental influences. Technology supports research The partners in the project are using the most up-to-date technology, such as motion capture and computer graphics, to generate body movements for neuropsychological studies. Computer graphics specialists have created software for analysing and animating dance and emotionally relevant aspects of locomotion. Computer vision provides various algorithms for modelling and quantifying complex movements. These are then used by researchers to develop systems for analysing emotional expressions in video data. The simulation of emotions is proving to be important in robotics. Emotions were implemented in autonomous robots for interaction with people in toys with public appeal such as the dog AIBO and some research laboratories are endowing humanoid robots with behaviour that resembles emotion. Technical systems that provide information through realistic, emotional body language have considerable market potential. They can be used in computer graphics, computer games and assistant robots. One of the main objectives is to analyse how the expression of emotion and its interpretation are shaped by cultures and to examine cross-cultural differences of emotion. The COBOL team is establishing the basis for developments of major scientific importance and contributing to understanding illnesses that until now have been inexplicable.
Countries
Austria, Belgium, Czechia, Germany, Denmark, Estonia, Greece, Spain, Finland, France, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Malta, Netherlands, Poland, Portugal, Sweden, Slovenia, Slovakia, United Kingdom