The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier

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The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier

One of the earliest methods to observe the brain dynamic is through Electroencephalogram (EEG) brain signal. It is widely known as a non-invasive, reliable, and affordable way of recording the brain activities. It has become the most wanted way of diagnosis and treatment for mental and brain neuroge...

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Bibliographic Details
Main Authors:	Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed
Format:	Conference or Workshop Item
Language:	English
Published:	Springer, Singapore 2021
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/33498/ http://umpir.ump.edu.my/id/eprint/33498/1/The%20Classification%20of%20Wink-Based%20EEG%20Signals%20-%20The%20Identification.pdf

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