Design of Identification System Based on BCI

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Nowadays EEG-based identification biometric research becomes a new topic. Due to the current biometric technology are still exist some problems, therefore, an urgent needed is to find a new biometric technology. In this paper, we use EEG signals as biometrics, which is home to a new biometric research trends, cutting-edge and exploratory nature, there is a good prospect. We establish a set of EEG-based identification systems and medium-sized EEG signatures, explore effective methods of analysis biometric technology to make up for past deficiencies, to further improve and develop the theory of biometric technologies and applications for EEG-based identification technology promotion foundation.

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1975-1978

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] M D' Zmura, S Deng, et al. Toward EEG sensing of imagined speech, Human Computer Interactions and New Trends, (2009).

Google Scholar

[2] K Brigham, BVK Vijaya Kumar. Imagined speech classification with EEG signals for silent communication: a preliminary investigation into synthetic telepathy, ICBBE, (2010).

DOI: 10.1109/icbbe.2010.5515807

Google Scholar

[3] F Guenther, J S Brumberg, et al., A wireless brain-machine interface for real-time speech synthesis, PLoS ONE, (2009).

Google Scholar

[4] C S DaSalla, H Kambara, et al. Single-trial classification of vowel speech imagery using common spatial patterns, Neural Networks, (2009).

DOI: 10.1016/j.neunet.2009.05.008

Google Scholar

[5] J F Hu, New biometric approach based on motor imagery EEG signals, FBIE (2009).

DOI: 10.1109/fbie.2009.5405787

Google Scholar

[6] A Zúquete, B Quintela, J P S Cunha, Biometric authentication using brain responses to visual stimuli, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, (2010).

DOI: 10.5220/0002750101030112

Google Scholar

[7] K. Das, S. Zhang, B. et al. Using rapid visually evoked EEG activity for person identification, EMBS. (2009).

Google Scholar

[8] J. h. Yin, J. f. Hu, Z. d. Mu (2011)Design and implement of BCI system based on android platform. IEA2011.

Google Scholar

[9] J. h. Yin, J. f. Hu(2011)Design and implement of pocket PC game based on brain-computer interface. ICCIC2011.

Google Scholar

[10] Z. d. Mu, J. f. Hu. (2011)Research on EEG identification computing based on photo images. Materials Research, v217-218, pp.1366-1371, (2011).

DOI: 10.4028/www.scientific.net/amr.217-218.1366

Google Scholar