Abstract:
The needs of the many individuals with disabilities are often satisfied with traditional manual or powered wheelchairs, a segment of the disabled community finds it difficult or impossible to use wheelchairs. there’s extensive research on computer-controlled chairs where sensors and intelligent control algorithms are used to minimize the extent of human intervention. This project describes a wheelchair for physically disabled people. Our goal is to style and develop a system that permits the user to robustly interact with the wheelchair at different levels of the control and sensing. Building a prototype of intelligent movement assistance wheelchair with the help of hardware and software using Arduino and with the help of other technologies like artificial intelligence, machine learning and image processing. While making and designing the system from totally scratch and it will be structured in a way that it will utilize the core technologies by recognizing the gesture of the patient hand integrated sensor recognizing the hand movement. It will be composed of different data which will include hand gestures and sensor. The system will understand and obeys natural language motion commands.
