@inproceedings{b339ed0069b641dc9a524ed6dd9be8b1,
title = "Person identification using electroencephalographic signals evoked by visual stimuli",
abstract = "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.",
keywords = "EEG, VEP, person identification",
author = "Lin, {Jia Ping} and Yong-Sheng Chen and Chen, {Li Fen}",
year = "2011",
doi = "10.1007/978-3-642-24955-6_81",
language = "English",
isbn = "9783642249549",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "684--691",
booktitle = "Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings",
edition = "PART 1",
note = "18th International Conference on Neural Information Processing, ICONIP 2011 ; Conference date: 13-11-2011 Through 17-11-2011",
}