Orthotic arm control using EOG signals and GUI

Abstract

Quadriplegic and non-verbal individuals, people suffering from cerebral palsy, stroke, traumatic brain injury, Galilean-Barre Syndrome, etc. find it difficult to convey their intentions as their voluntary motions are limited. In most of the cases the eye movements are unaffected and thus, the solution of using the eyes has the potential to develop a robust communication support method. Most of the contemporary techniques i.e. detection of eye movement using infrared reactance of the cornea, video-oculogram, the sclera reaction method are insufficient and not viable for practical applications. Several methods are been proposed that use electrooculograms (EOGs) occurring as a result of eye movements. In this paper we would like to propose a novel method to acquire EOG signals and control an Orthotic Arm with these signals. We also propose a method by which a second-person could control the arm.