Evaluation of feature extraction and classification techniques for EEG-based subject identification

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Evaluation of feature extraction and classification techniques for EEG-based subject identification

The ability to identify a subject is indispensable in affective computing research due to its wide range of applications. User profiling was created based on the strength of emotional patterns of the subject, which can be used for subject identification. Such system is made based on the emotional st...

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Bibliographic Details
Main Authors:	Handayani, Dini Oktarina Dwi, Abdul Rahman, Abdul Wahab, Yaacob, Hamwira Sakti
Format:	Article
Language:	English English English
Published:	UTM Press 2016
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/56434/ http://irep.iium.edu.my/56434/1/56434_Evaluation%20of%20feature%20extraction%20and%20classification.pdf http://irep.iium.edu.my/56434/2/56434_Evaluation%20of%20feature%20extraction%20and%20classification_Scopus.pdf http://irep.iium.edu.my/56434/3/56434_Evaluation%20of%20feature%20extraction%20and%20classification_WoS.pdf

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