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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
UTM Press
2016
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| Subjects: | |
| 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 |
Internet
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