EEG-Based Person Authentication System in Different Brain States

Nga Tran; Dat TRAN; Shuangzhe LIU; Wanli MA; Tien PHAM

doi:10.1109/NER.2019.8716949

EEG-Based Person Authentication System in Different Brain States

Nga Tran, Dat TRAN, Shuangzhe LIU, Wanli MA, Tien PHAM

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Using EEG signals, which measure the electrical field generated by active neurons in a brain, to access a security system has received a considerable attention from researchers with a large number of publications. While elicited EEG-based credentials are known as sensitive to affective states, very few studies address that issue when utilizing brain-wave for authentication purpose. In this paper, we investigate the user-authenticating ability of an EEG-based person authentication (EBPA) system when clients are in a variety of brain states during performing mental tasks to login. The experimental results, which are supported by neuropsychological evidence, show that when people are in like or unfamilar brain states, the EBPA system has better accuracy compared to when they dislike or are familiar with stimuli. Some other issues involving human affective states are also introduced to help design a real-world EBPA system that is not only stable and high security but also comfortable.

Original language	English
Title of host publication	9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1050-1053
Number of pages	4
ISBN (Electronic)	9781538679210
ISBN (Print)	9781538679227
DOIs	https://doi.org/10.1109/NER.2019.8716949
Publication status	Published - 16 May 2019
Event	2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) - California, San Francisco, United States Duration: 20 Mar 2019 → 23 Mar 2019 https://neuro.embs.org/2019/

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2019-March
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Conference

Conference	2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
Abbreviated title	NER
Country/Territory	United States
City	San Francisco
Period	20/03/19 → 23/03/19
Internet address	https://neuro.embs.org/2019/

Access to Document

10.1109/NER.2019.8716949

Cite this

Tran, N., TRAN, D., LIU, S., MA, W., & PHAM, T. (2019). EEG-Based Person Authentication System in Different Brain States. In 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 (pp. 1050-1053). [8716949] (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NER.2019.8716949

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title = "EEG-Based Person Authentication System in Different Brain States",

abstract = "Using EEG signals, which measure the electrical field generated by active neurons in a brain, to access a security system has received a considerable attention from researchers with a large number of publications. While elicited EEG-based credentials are known as sensitive to affective states, very few studies address that issue when utilizing brain-wave for authentication purpose. In this paper, we investigate the user-authenticating ability of an EEG-based person authentication (EBPA) system when clients are in a variety of brain states during performing mental tasks to login. The experimental results, which are supported by neuropsychological evidence, show that when people are in like or unfamilar brain states, the EBPA system has better accuracy compared to when they dislike or are familiar with stimuli. Some other issues involving human affective states are also introduced to help design a real-world EBPA system that is not only stable and high security but also comfortable.",

keywords = "Human Performance - Modelling and prediction, Neural Interfaces - Computational modeling and simulation, Brain-computer/machine Interface",

author = "Nga Tran and Dat TRAN and Shuangzhe LIU and Wanli MA and Tien PHAM",

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booktitle = "9th International IEEE EMBS Conference on Neural Engineering, NER 2019",

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Tran, N, TRAN, D , LIU, S, MA, W & PHAM, T 2019, EEG-Based Person Authentication System in Different Brain States. in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019., 8716949, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2019-March, IEEE, Institute of Electrical and Electronics Engineers, pp. 1050-1053, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), San Francisco, United States, 20/03/19. https://doi.org/10.1109/NER.2019.8716949

EEG-Based Person Authentication System in Different Brain States. / Tran, Nga; TRAN, Dat ; LIU, Shuangzhe et al.
9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 1050-1053 8716949 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2019-March).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - EEG-Based Person Authentication System in Different Brain States

AU - Tran, Nga

AU - TRAN, Dat

AU - LIU, Shuangzhe

AU - MA, Wanli

AU - PHAM, Tien

PY - 2019/5/16

Y1 - 2019/5/16

N2 - Using EEG signals, which measure the electrical field generated by active neurons in a brain, to access a security system has received a considerable attention from researchers with a large number of publications. While elicited EEG-based credentials are known as sensitive to affective states, very few studies address that issue when utilizing brain-wave for authentication purpose. In this paper, we investigate the user-authenticating ability of an EEG-based person authentication (EBPA) system when clients are in a variety of brain states during performing mental tasks to login. The experimental results, which are supported by neuropsychological evidence, show that when people are in like or unfamilar brain states, the EBPA system has better accuracy compared to when they dislike or are familiar with stimuli. Some other issues involving human affective states are also introduced to help design a real-world EBPA system that is not only stable and high security but also comfortable.

AB - Using EEG signals, which measure the electrical field generated by active neurons in a brain, to access a security system has received a considerable attention from researchers with a large number of publications. While elicited EEG-based credentials are known as sensitive to affective states, very few studies address that issue when utilizing brain-wave for authentication purpose. In this paper, we investigate the user-authenticating ability of an EEG-based person authentication (EBPA) system when clients are in a variety of brain states during performing mental tasks to login. The experimental results, which are supported by neuropsychological evidence, show that when people are in like or unfamilar brain states, the EBPA system has better accuracy compared to when they dislike or are familiar with stimuli. Some other issues involving human affective states are also introduced to help design a real-world EBPA system that is not only stable and high security but also comfortable.

KW - Human Performance - Modelling and prediction

KW - Neural Interfaces - Computational modeling and simulation

KW - Brain-computer/machine Interface

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M3 - Conference contribution

SN - 9781538679227

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BT - 9th International IEEE EMBS Conference on Neural Engineering, NER 2019

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

Y2 - 20 March 2019 through 23 March 2019

ER -

EEG-Based Person Authentication System in Different Brain States

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