The classification of EEG signal processing using different machine learning techniques for BCI application

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The classification of EEG signal processing using different machine learning techniques for BCI application

Brain-Computer Interface (BCI) or Human-Machine Interface is now becoming vital in biomedical engineering and technology field which applying EEG technologies to provide assistive device technology (AT) to humans. Hence, this paper presents the results of analyzing EEG signals from various human cog...

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Bibliographic Details
Main Authors:	Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Sabira, Khatun, Bari, Bifta Sama
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer, Singapore 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24498/ http://umpir.ump.edu.my/id/eprint/24498/1/29.%20The%20classification%20of%20EEG%20signal%20processing%20using%20different.pdf http://umpir.ump.edu.my/id/eprint/24498/2/29.1%20The%20classification%20of%20EEG%20signal%20processing%20using%20different.pdf

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