IRIS CONTROLLED SMART WHEELCHAIR
Sanya Shree, Tanishka Adhlakha, Shreenam, S. Vivekanandan · International journal of advance research and innovative ideas in education · 2019
Paralysis or blindness is considered as a major curse in this world. The number of persons who are paralyzed and therefore dependent on others due to loss of self-mobility is growing with the population. Quadriplegia is a form of Paralysis in which you can only move your eyes. Much work has been done to help disabled persons to live independently. In this project, we are interested in iris biometric applications. More precisely, our contribution consists in designing both a pupil detection and a tracking procedure from images acquired by low-cost webcams. The novelty of our approach relies on the fact that it is operational even with a minimal user cooperation and, under bad illuminations and acquisition conditions. A robust classification algorithm called the Viola Jones algorithm is designed to detect the face as well as the pupil. Experimental results are performed in order to evaluate the performances of the proposed detection and tracking system.