A study on the stability of EEG signals for user authentication

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

Research output: A Conference proceeding or a Chapter in BookConference contribution

9 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 languageEnglish
Title of host publication2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages122-125
Number of pages4
ISBN (Electronic)9781467363891
ISBN (Print)9781467363877
DOIs
Publication statusPublished - 2015
Event2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) - Montpellier, France
Duration: 22 Apr 201524 Apr 2015
https://neuro.embs.org/2015/

Conference

Conference2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)
Abbreviated titleNER
CountryFrance
CityMontpellier
Period22/04/1524/04/15
Internet address

Fingerprint

Electroencephalography
Authentication
Biometrics
Brain

Cite this

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

A study on the stability of EEG signals for user authentication. / PHAM, Tien; MA, Wanli; TRAN, Dat; Tran, Duc Su; PHUNG, Dinh.

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER). Piscataway, NJ, USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 122-125.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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AU - PHUNG, Dinh

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