Comparing EEG patterns of actual and imaginary wrist movements - a machine learning approach
Lakany, H. and Conway, B.A. (2005) Comparing EEG patterns of actual and imaginary wrist movements - a machine learning approach. Proceedings of the first ICGST International Conference on Artificial Intelligence and Machine Learning AIML 05 . ICGST, Cairo, Egypt. ISBN 21968/2005
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Abstract
Our goal is to develop an algorithm for feature extraction and classification to be used in building brain-computer interfaces. In this paper, we present preliminary results for classifying EEG data of imaginary wrist movements. We have developed an algorithm based on the spatio-temporal features of the recorded EEG signals. We discuss the differences between the feature vectors selected for both actual and imaginary wrist movements and compare classification results.
Creators(s): |
Lakany, H. ![]() ![]() | Item type: | Book |
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ID code: | 8376 |
Keywords: | eeg data, brain computer interfaces, wrist movements, machine learning, Bioengineering, Biotechnology |
Subjects: | Technology > Engineering (General). Civil engineering (General) > Bioengineering |
Department: | Faculty of Engineering > Bioengineering |
Depositing user: | Strathprints Administrator |
Date deposited: | 03 Sep 2009 14:17 |
Last modified: | 11 Feb 2021 10:44 |
URI: | https://strathprints.strath.ac.uk/id/eprint/8376 |
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