Electro-oculogram Based Classification of Eye Movement Direction

被引：0

作者：

Banerjee, Anwesha ^{[1
]}

Konar, Amit ^{[2
]}

Janarthana, R. ^{[3
]}

Tibarewala, D. N. ^{[1
]}

机构：

[1] Jadavpur Univ, Sch Biosci & Engn, Kolkata, India

[2] Jadavpur Univ, Dept Elect & Tele Commun, Kolkata, India

[3] Jaya Coll Engn, Dept Informat Technol, Madras, Tamil Nadu, India

来源：

ADVANCES IN COMPUTING AND INFORMATION TECHNOLOGY, VOL 3 | 2013年 / 178卷

关键词：

SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the direction of eye movement is detected from Electro-oculographic signal using different types of support vector machine classifier. Here, a data acquisition system is designed to collect stimulated Electrooculographic signal. Discrete wavelet transform features of the signal are taken for classification. Eye movement in left and right direction is classified by support vector machine classifier with different kernels. Linear, quadratic, polynomial, radial basis function and multilayer perceptron kernels have been used. In comparison, all of them shown good results but multilayer perceptron performs the best. These classified signals may further be used for control application.

引用

页码：151 / +

页数：3