Implementation of the EOG-Based Human Computer Interface System

TLDR

Bio‑based human‑computer interfaces have gained increasing global research interest in recent years. This study introduces an electrooculography‑based HCI system. The system comprises EOG acquisition with three‑plane electrodes, online signal processing for pattern recognition, and command output to control computers or devices. The system enabled successful remote control experiments using EOG signals.

Abstract

Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG amplifying and acquisition, EOG pattern recognition and control command output. Three plane electrodes are employed to detects the EOG signals, which contains the information related to the eye blinking and vertical( or horizontal ) eye movements referred to pre-designed command table. An online signal processing algorithm is designated to get the command information contained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.