Development of Mouse Cursor Control System using DC and AC Elements of Electrooculogram Signals and its Applications

Abstract

The aim of this study is to present electrooculogram signals that can be used for human computer interface efficiently. Establishing an efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amyotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular responses. Using electrooculogram signals, it is possible to improve the communication abilities of those patients who can move their eyes.In this paper, we introduce the mouse cursor control system for Amyotrophic Lateral Sclerosis patients using electrooculogram signals. We propose the algorithm using alternating current and direct current of electrooculogram signals corresponding to the baseline drift problem. The focus of our proposal system was laid on noise, baseline drift and eye blink artifact removal. In order to test the effectiveness of our proposal system, we tried the experiments of the Alphabet sentence input task using our proposal system.

Gaze Estimation Method Using Analysis of Electrooculogram Signals and Kinect Sensor

“…We had proposed an eye tracking method using an electrooculogram (EOG) signal, which measures the potential across the cornea and retina [ 12 – 14 ]. With the EOG, the eyeball can be modeled as a dipole [ 15 ].…”

“…EOGs are widely applied in the medical field because they place a low burden on patients. The literature includes several EOG-based human-computer interface [ 12 – 14 , 16 , 17 ]. To investigate the possibility of using the EOG for a human-computer interface, the relation between the gaze angle and the EOG must be determined.…”

“…However, in-depth studies [ 18 , 19 ] have shown that the slowly changing baseline drift poses a difficulty for estimating continuous EOG signals, and this drift only appears in direct current (DC) signals in the circuit. We previously developed an EOG system using the center parameter update technique, which reduces baseline drift by segmentation of the signal [ 12 ]. The system that we developed [ 12 – 14 ] can possibly improve the communication abilities of patients who are able to move their neck and/or eyes; however, the low resolution of our system is a problem.…”

“…We previously developed an EOG system using the center parameter update technique, which reduces baseline drift by segmentation of the signal [ 12 ]. The system that we developed [ 12 – 14 ] can possibly improve the communication abilities of patients who are able to move their neck and/or eyes; however, the low resolution of our system is a problem.…”

“…We previously developed an eye input application for a desktop PC with highly accurate gaze estimation [ 12 ]. Furthermore, we carried out large-space experiments (range: −60 degrees to 60 degrees) and estimated the gaze by multiple regression analysis using the DC integral value [ 22 ].…”