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. © 2016 IEEE.
cited By ; Conference of 1st International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 ; Conference Date: 18 December 2016 Through 20 December 2016; Conference Code:128160
Rajesh Kannan Megalingam, Nandakumar, V., Athira, A., Gopika, G. S., and A. Krishna, “Orthotic Arm Control using EOG Signals and GUI”, in International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 - Conference Proceedings, 2017.