Electro-oculogram Based Classification of Eye Movement Direction View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Anwesha Banerjee , Amit Konar , R. Janarthana , D. N. Tibarewala

ABSTRACT

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. More... »

PAGES

151-159

Book

TITLE

Advances in Computing and Information Technology

ISBN

978-3-642-31599-2
978-3-642-31600-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-31600-5_15

DOI

http://dx.doi.org/10.1007/978-3-642-31600-5_15

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039682175


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