NDLI: Motor imagery EEG Recognition based on Biomimetic Pattern Recognition

Content Provider	IEEE Xplore Digital Library
Author	Kai Xu Yan Wu
Copyright Year	2010
Description	Author affiliation: Department of Computer Science and Technology, Tongji University, Shanghai, China (Kai Xu; Yan Wu)
Abstract	This paper improves Biomimetic Pattern Recognition based on Hyper Sausage Neuron and applies it in the study of Motor Imagery EEG recognition. The paper uses the datasets from previous Brain-Computer Interface Competitions to test the accuracy and efficiency of the results, and compares them with those of SVM and BP. The results show that: with sufficient training set, the performance of Biomimetic Pattern Recognition is close to those of SVM and BP; but when the size of training set is small, SVM and BP's classification performance degrades obviously, while Biomimetic Pattern Recognition demonstrates clear advantages.
Starting Page	955
Ending Page	959
File Size	325407
Page Count	5
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5639928
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Support vector machines Motor Imagery Biomimetic Pattern Recognition Neurons Electroencephalography Brain-Computer Interface Business process re-engineering Pattern recognition Classification algorithms Hyper Sausage Neuron
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Motor imagery EEG Recognition based on Biomimetic Pattern Recognition