Advanced Wheelchair Movement System Using Facial Gestures For Aiding Human With Tetraplegia Condition
P.V. Ramaraju, K. JaideepSai Narayan, G. Naga Raju · 2019
The major problem faced by the paralyzed people is their mobility. The quadriplegia, one of the serious disabilities affects all the four limbs and such persons need an external help to perform their daily activities. The main objective of this project is to provide an automated system for such people. Abstract discusses the possibility of developing a wheelchair whose motion can be controlled using eye blinks. User's eye gestures are translated to screen position using optical sensing in MATLAB. A camera mounted on the wheel chair recognizes the eye gaze/blinks and if it matches with the gestures in memory, motion control commands are generated by the micro controller depending on the coding. These commands drive the motors of the wheelchair.