About this document

EEG Motor Imagery Classification Using OCSVM by Vidya Muthukrishnan is a document available to read on EtoBox.

This document describes a study that uses a one-class support vector machine (OCSVM) method to classify motor imagery tasks from EEG data. The study uses common spatial pattern analysis to extract features from EEG recordings of subjects performing left hand, right hand, and foot motor imagery tasks. It compares the OCSVM classification results to linear discriminant analysis, multi-class support vector machines, and probabilistic neural networks. The results show that the OCSVM method significantly improve

Author

Vidya Muthukrishnan

Language

EN