Person identification using electroencephalographic signals evoked by visual stimuli

Jia Ping Lin, Yong-Sheng Chen*, Li Fen Chen

*Corresponding author for this work

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this work we utilize the inter-subject differences in the electroencephalographic (EEG) signals evoked by visual stimuli for person identification. The identification procedure is divided into classification and verification phases. During the classification phase, we extract the representative information from the EEG signals of each subject and construct a many-to-one classifier. The best-matching candidate is further confirmed in the verification phase by using a binary classifier specialized to the targeted candidate. According to our experiments in which 18 subjects were recruited, the proposed method can achieve 96.4% accuracy of person identification.

原文English
主出版物標題Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
頁面684-691
頁數8
版本PART 1
DOIs
出版狀態Published - 28 十一月 2011
事件18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, China
持續時間: 13 十一月 201117 十一月 2011

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
7062 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference18th International Conference on Neural Information Processing, ICONIP 2011
國家China
城市Shanghai
期間13/11/1117/11/11

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