Development of Eye Mouse Using EOG signals and Learning Vector Quantization Method

Peng Zhang,Shin-Ichi Ito,Momoyo Ito,Minoru Fukumi

doi:10.12792/jiiae.3.52

Abstract

Recognition of eye motions has attracted more and more attentation of researchers all over the world in recent years. Compared with other body movements, eye motion is responsive and needs a low consumption of physical strength. In particular, for patients with severe physical disabilties, eye motion is the last spontaneous motion for them to make a respond. In order to provide an efficient means of communication for patients such as ALS (amyotrophic lateral sclerosis) who cannot move even their muscles except eye, in this paper we proposed a system that uses EOG signals and Learning Vector Quantization algorithm to recognize eye motions. According to recognition results, we use API (application programming interface) to control cursor movements. This system would be used as a means of communication to help ALS patients.

Highlights

It is difficult for patients with severe physical disabilities to communicate with others, such as Amyotrophic Lateral Sclerosis (ALS) and serious paraplegia
In order to provide an efficient means of communication for those patients, in this paper we proposed a system that uses EOG signals and Learning Vector Quantization algorithm to recognize eye motions
Through observation we found that, when we do simple eye wink motion, the difference between two vertical channels is very large compared with normal eye motion

Summary

Introduction

It is difficult for patients with severe physical disabilities to communicate with others, such as Amyotrophic Lateral Sclerosis (ALS) and serious paraplegia. In order to provide an efficient means of communication for those patients, in this paper we proposed a system that uses EOG signals and Learning Vector Quantization algorithm to recognize eye motions. We use a Learning Vector Quantization network and characteristics of EOG features at each motion to recognize eye motions. Many eye motion recognition methods have been proposed, such as Corneal Reflection Method [1], Search Coil Method [2], VTR Method [3] and EOG Method. Owing to the use of the special contact lens, it is necessary to reduce the wearing time As a result, it is inconvenient for patients. There are some problems with these works, for example: the number of eye motion types that can be recognized is less; infrared and contact lenses may have some effect on the eye; and recognition accuracy is generally not so high. EOG method has advantages as follows: it does not need to fix the head, the installation of a device is easy, and it can be relatively easy to detect the signal for a long time

Construction of recognition system

EOG Mouse

2: MOUSEEVENTF ABSOLUTE

Recognition results

Findings

Conclusions