Nose tracking cursor control for the people with disabilities: An improved HCI

People with tetraplegia, suffering from traumatic brain injury, cerebral palsy, neurological injury or stroke, face a lot of difficulties to use standard input interface of personal computers, such as the keyboard and the mouse, during their rehabilitation and everyday life activities. Therefore, it is highly desired to develop Assistive Technologies (ATs) for people with tetraplegia. In this paper, Human Computer Interface (HCI) is implemented with digital image processing and a new approach to control personal computers with high efficiency. The main three features of this interface are nose tracking cursor control, auto brightness control and display control based on the presence and detection of valid human face. The proposed system is low cost and exhibits inherent security and power saving capabilities. MATLAB environment is used to perform the experiments and performance is analyzed by comparing the results with recent works.