An Oculomotor Sensing Technique for Saccade Isolation of Eye Movements using OpenBCI

Abstract

Oculomotor sensing is used in clinical diagnosing of medical disorders, human computer/robot interaction systems and surgical planning software. Various devices are used for oculomotor sensing, namely electrooculography (EOG), video oculography (VOG), infrared oculography (IROG) and sclera coil (SC). EOG is inferior to VOG and IROG in spatial and temporal resolution but its superior in linearity, non-invasiveness, no sight disturbance, low cost and ability of recording closed eye movements. Accurate saccade isolation is important to implement reliable EOG based techniques. This work presents an inexpensive and accurate signal processing technique to extract saccade information. Signal filtering, isolation and calibration are implemented to extract saccade information from the raw signal. The proposed technique showed a significant improvement with respect to other approaches (used for noise filtering) found in literature.