Parvathy M V,, P. Srinivasan
Traditional electric-powered wheelchairs are normally controlled by users via joysticks, which cannot satisfy the needs of elderly and disabled users who have restricted limb movements caused by some diseases such as parkingson’s disease and quadriplegics. This paper presents a novel hands-free control system for intelligent wheelchairs based on visual recognition of head gestures. The traditional Adaboost face detection algorithm and Camshift object tracking algorithm are combined in our system to achieve accurate face detection, tracking and gesture recognition in real time. It is intended to be used as the human-friendly interface for elderly and disabled people to operate our intelligent wheelchair using their head gestures rather than their hands. Experimental results are given to demonstrate the feasibility and performance
Hidden Markov Model; Head Gesture Recognition; Intelligent Wheelchair; Face Detection; Head Gesture Interface; Hands-Free Control; MEMS- Micro Electro Mechanical System; Accelerometer.