HUMAN-MACHINE INTERFACE OF ELECTROOCULOGRAM BASED SYSTEM FOR MOBILITY USING ASSISTIVE ROBOTICS

The following empirical research undertakes the implementation of the signals obtained via an Electrooculography (EOG) into the design for a simple, effective and low-cost microcontroller system. The process was extended research, to demonstrate and allow an incapacitated individual to control eight individual devices, by collecting and evaluating the myoelectric signals rendered by the eye muscles during various movements of the eye