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

• 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/56434/1/56434_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; http://irep.iium.edu.my/56434/; http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/9717/5894
• Institution: Universiti Islam Antarabangsa Malaysia

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...