Eye Controlled Wheelchair for Physically Disabled Persons using Viola Jones Algorithm and Hough Transform

Tetraplegia or normally known as quadriplegia is a kind of immobility activated by an ailment or cervical damage bringing about the total or halfway hindrance of the appendages and torso function. Every year many people are suffering from this illness. This paper attempts to implement a way to resolve this problem by making the disabled persons move an their own. The motivation behind this paper is to exhibit ease and low-cost method for empowering differently-abled individuals to explore their wheelchair freely through the movement of eyes. In this paper, we proposed a system where the camera will be put in front of the wheelchair. The camera will detect the face using the Viola-Jones algorithm and will detect eyeball using the Hough transform using the MATLAB environment. MATLAB interacts with Arduino microcontroller utilizing serial correspondence. Arduino transfers the control signal to L298N stepper motor driver, which gives the commanded signal to the motors of the wheelchair. In our proposed method, comparison and observation were made between other eye controlling methods and our method. The framework is reasonable and henceforth can he utilized by patients spread over a vast economy run.