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Erschienen in:
Electroencephalogram (EEG) and Its Background Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

12. Optimum Allocation Aided Naïve Bayes Based Learning Process for the Detection of MI Tasks

verfasst von : Siuly Siuly, Yan Li, Yanchun Zhang

Erschienen in: EEG Signal Analysis and Classification

Verlag: Springer International Publishing

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Abstract

This chapter presents a reliable and robust analysis system that can automatically detect motor imagery (MI) based EEG signals for the development of brain–computer interface (BCI) systems.

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Vorheriges Kapitel Comparative Study: Motor Area EEG and All-Channels EEG
Nächstes Kapitel Summary Discussion on the Methods, Future Directions and Conclusions
Literatur
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Metadaten
Titel
Optimum Allocation Aided Naïve Bayes Based Learning Process for the Detection of MI Tasks
verfasst von
Siuly Siuly
Yan Li
Yanchun Zhang
Copyright-Jahr
2016
Buch
EEG Signal Analysis and Classification

Print ISBN: 978-3-319-47652-0

Electronic ISBN: 978-3-319-47653-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-47653-7_12

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