Using Virtual Reality to Dynamically Setting an Electrical Wheelchair

This work uses virtual reality to find or refine in a recurring way the best adequacy between a person with physically disability and his electrical wheelchair. A system architecture based on 'Experiment'Analyze and decision-making'Modification of the wheelchair' cycles is proposed. This architecture uses a decision-making module based on a fuzzy inference system which has to be parameterized so that the system converges quickly towards the optimal solution. The first challenge consists in computing criteria which must represent as well as possible particular situations that the user meets during each navigation experiment. The second challenge consists in transforming these criteria into relevant modifications about the active or non active functionalities or into adjustment of intrinsic setting of the wheelchair. These modifications must remain most stable as possible during the successive experiments. Objectives are to find the best wheelchair to give a beginning of mobility to a given person with physically disability.