A study on the stability of EEG signals for user authentication

Tien PHAM; Wanli MA; Dat TRAN; Duc Su Tran; Dinh PHUNG

doi:10.1109/NER.2015.7146575

A study on the stability of EEG signals for user authentication

Tien PHAM, Wanli MA, Dat TRAN, Duc Su Tran, Dinh PHUNG

Information Systems

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

20 Citations (Scopus)

Abstract

Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.

Original language	English
Title of host publication	2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	122-125
Number of pages	4
ISBN (Electronic)	9781467363891
ISBN (Print)	9781467363877
DOIs	https://doi.org/10.1109/NER.2015.7146575
Publication status	Published - 2015
Event	7th International IEEE/EMBS Conference on Neural Engineering (NER) 2015 - Montpellier, France Duration: 22 Apr 2015 → 24 Apr 2015 https://neuro.embs.org/2015/

Conference

Conference	7th International IEEE/EMBS Conference on Neural Engineering (NER) 2015
Abbreviated title	NER
Country/Territory	France
City	Montpellier
Period	22/04/15 → 24/04/15
Internet address	https://neuro.embs.org/2015/

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10.1109/NER.2015.7146575

Cite this

@inproceedings{17748781999344438111446356350b42,

title = "A study on the stability of EEG signals for user authentication",

abstract = "Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.",

author = "Tien PHAM and Wanli MA and Dat TRAN and Tran, {Duc Su} and Dinh PHUNG",

year = "2015",

doi = "10.1109/NER.2015.7146575",

language = "English",

isbn = "9781467363877",

pages = "122--125",

booktitle = "2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "7th International IEEE/EMBS Conference on Neural Engineering (NER) 2015, NER ; Conference date: 22-04-2015 Through 24-04-2015",

url = "https://neuro.embs.org/2015/",

}

PHAM, T, MA, W , TRAN, D, Tran, DS & PHUNG, D 2015, A study on the stability of EEG signals for user authentication. in 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, USA, pp. 122-125, 7th International IEEE/EMBS Conference on Neural Engineering (NER) 2015, Montpellier, France, 22/04/15. https://doi.org/10.1109/NER.2015.7146575

TY - GEN

T1 - A study on the stability of EEG signals for user authentication

AU - PHAM, Tien

AU - MA, Wanli

AU - TRAN, Dat

AU - Tran, Duc Su

AU - PHUNG, Dinh

PY - 2015

Y1 - 2015

N2 - Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.

AB - Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.

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UR - http://www.mendeley.com/research/study-stability-eeg-signals-user-authentication

UR - https://pspb.ieee.org/images/files/files/opsmanual.pdf

U2 - 10.1109/NER.2015.7146575

DO - 10.1109/NER.2015.7146575

M3 - Conference contribution

SN - 9781467363877

SP - 122

EP - 125

BT - 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, NJ, USA

T2 - 7th International IEEE/EMBS Conference on Neural Engineering (NER) 2015

Y2 - 22 April 2015 through 24 April 2015

ER -

A study on the stability of EEG signals for user authentication

Abstract

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