Despite the diversity of electric wheelchairs, many people with physical limitations and seniors have difficulty using their standard\njoystick. As a result, they cannot meet their needs or ensure safe travel. Recent assistive technologies can help to give them\nautonomy and independence. This work deals with the real-time implementation of an artificial intelligence device to overcome\nthese problems. Following a review of the literature from previous work, we present the methodology and process for\nimplementing our intelligent control system on an electric wheelchair. The system is based on a neural algorithm that\novercomes problems with standard joystick maneuvers such as the inability to move correctly in one direction. However, this\nimplies the need for an appropriate methodology to map the position of the joystick handle. Experiments on a real wheelchair\nare carried out with real patients of the Mohamed Kassab National Institute Orthopedic, Physical and Functional Rehabilitation\nHospital of Tunis. The proposed intelligent system gives good results compared to the use of a standard joystick.
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