脑纹识别研究综述

doi:10.3969/j.issn.0258-8021.2017.05.013

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Abstract Personal identification is particularly important in information security. The traditional way of identification is not sufficient in terms of security. As a new type of biometrics, electroencephalogram(EEG) signals has unique advantages of unstolenness, unforgeability and in vivo detection. It provides a more secure biometric method for identification. Therefore, EEG fingerprints is promising both in terms of scientific research and real-world application. In this paper, the state of art of the identification technologies based on EEG signals are reviewed. It also introduces the principles and methods of EEG fingerprints identification with regarding to resting state, visual evoked potential (VEP), motor imagery and event-related potential (ERP). Meanwhile, both advantages and limitations of these methods are discussed. Finally, research direction is summarized.

Key words： EEG fingerprints identification resting potential visual evoked potential motor imagery event-related potential

Received: 10 March 2017

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R318

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	Articles by authors
	Wang Luyun
	Kong Wanzeng
	Zhang Xinyu
	Fan Qiaonan

Cite this article:

Wang Luyun,Kong Wanzeng,Zhang Xinyu, et al. The Survey of EEG Fingerprints Identification[J]. Chinese Journal of Biomedical Engineering, 2017, 36(5): 602-607.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2017.05.013 OR http://cjbme.csbme.org/EN/Y2017/V36/I5/602

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