IEICE TRANSACTIONS on Fundamentals
User Verification Using Evoked EEG by Invisible Visual Stimulation
Summary :
Person authentication using biometric information has recently become popular among researchers. User management based on biometrics is more reliable than that using conventional methods. To secure private information, it is necessary to build continuous authentication-based user management systems. Brain waves are suitable biometric modalities for continuous authentication. This study is based on biometric authentication using brain waves evoked by invisible visual stimuli. Invisible visual stimulation is considered over visual stimulation to overcome the obstacles faced by a user when using a system. Invisible stimuli are confirmed by changing the intensity of the image and presenting high-speed stimulation. To ensure invisibility, stimuli of different intensities were tested, and the stimuli with an intensity of 5% was confirmed to be invisible. To improve the verification performance, a continuous wavelet transform was introduced over the Fourier transform because it extracts both time and frequency information from the brain wave. The scalogram obtained by the wavelet transform was used as an individual feature and for synchronizing the template and test data. Furthermore, to improve the synchronization performance, the waveband was split based on the power distribution of the scalogram. A performance evaluation using 20 subjects showed an equal error rate of 3.8%.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.12 pp.1569-1576
- Publication Date
- 2023/12/01
- Publicized
- 2023/06/19
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2022EAP1163
- Type of Manuscript
- PAPER
- Category
- Biometrics
Authors
Atikur RAHMAN
Tottori University
Nozomu KINJO
DENSO TEN
Isao NAKANISHI
Tottori University
Keyword
Latest Issue
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Atikur RAHMAN, Nozomu KINJO, Isao NAKANISHI, "User Verification Using Evoked EEG by Invisible Visual Stimulation" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 12, pp. 1569-1576, December 2023, doi: 10.1587/transfun.2022EAP1163.
Abstract: Person authentication using biometric information has recently become popular among researchers. User management based on biometrics is more reliable than that using conventional methods. To secure private information, it is necessary to build continuous authentication-based user management systems. Brain waves are suitable biometric modalities for continuous authentication. This study is based on biometric authentication using brain waves evoked by invisible visual stimuli. Invisible visual stimulation is considered over visual stimulation to overcome the obstacles faced by a user when using a system. Invisible stimuli are confirmed by changing the intensity of the image and presenting high-speed stimulation. To ensure invisibility, stimuli of different intensities were tested, and the stimuli with an intensity of 5% was confirmed to be invisible. To improve the verification performance, a continuous wavelet transform was introduced over the Fourier transform because it extracts both time and frequency information from the brain wave. The scalogram obtained by the wavelet transform was used as an individual feature and for synchronizing the template and test data. Furthermore, to improve the synchronization performance, the waveband was split based on the power distribution of the scalogram. A performance evaluation using 20 subjects showed an equal error rate of 3.8%.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAP1163/_p
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@ARTICLE{e106-a_12_1569,
author={Atikur RAHMAN, Nozomu KINJO, Isao NAKANISHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={User Verification Using Evoked EEG by Invisible Visual Stimulation},
year={2023},
volume={E106-A},
number={12},
pages={1569-1576},
abstract={Person authentication using biometric information has recently become popular among researchers. User management based on biometrics is more reliable than that using conventional methods. To secure private information, it is necessary to build continuous authentication-based user management systems. Brain waves are suitable biometric modalities for continuous authentication. This study is based on biometric authentication using brain waves evoked by invisible visual stimuli. Invisible visual stimulation is considered over visual stimulation to overcome the obstacles faced by a user when using a system. Invisible stimuli are confirmed by changing the intensity of the image and presenting high-speed stimulation. To ensure invisibility, stimuli of different intensities were tested, and the stimuli with an intensity of 5% was confirmed to be invisible. To improve the verification performance, a continuous wavelet transform was introduced over the Fourier transform because it extracts both time and frequency information from the brain wave. The scalogram obtained by the wavelet transform was used as an individual feature and for synchronizing the template and test data. Furthermore, to improve the synchronization performance, the waveband was split based on the power distribution of the scalogram. A performance evaluation using 20 subjects showed an equal error rate of 3.8%.},
keywords={},
doi={10.1587/transfun.2022EAP1163},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - User Verification Using Evoked EEG by Invisible Visual Stimulation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1569
EP - 1576
AU - Atikur RAHMAN
AU - Nozomu KINJO
AU - Isao NAKANISHI
PY - 2023
DO - 10.1587/transfun.2022EAP1163
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2023
AB - Person authentication using biometric information has recently become popular among researchers. User management based on biometrics is more reliable than that using conventional methods. To secure private information, it is necessary to build continuous authentication-based user management systems. Brain waves are suitable biometric modalities for continuous authentication. This study is based on biometric authentication using brain waves evoked by invisible visual stimuli. Invisible visual stimulation is considered over visual stimulation to overcome the obstacles faced by a user when using a system. Invisible stimuli are confirmed by changing the intensity of the image and presenting high-speed stimulation. To ensure invisibility, stimuli of different intensities were tested, and the stimuli with an intensity of 5% was confirmed to be invisible. To improve the verification performance, a continuous wavelet transform was introduced over the Fourier transform because it extracts both time and frequency information from the brain wave. The scalogram obtained by the wavelet transform was used as an individual feature and for synchronizing the template and test data. Furthermore, to improve the synchronization performance, the waveband was split based on the power distribution of the scalogram. A performance evaluation using 20 subjects showed an equal error rate of 3.8%.
ER -
English
