The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A autenticação de pessoas usando informações biométricas tornou-se recentemente popular entre os pesquisadores. O gerenciamento de usuários baseado em biometria é mais confiável do que o uso de métodos convencionais. Para proteger informações privadas, é necessário construir sistemas de gerenciamento de usuários baseados em autenticação contínua. As ondas cerebrais são modalidades biométricas adequadas para autenticação contínua. Este estudo é baseado na autenticação biométrica por meio de ondas cerebrais evocadas por estímulos visuais invisíveis. A estimulação visual invisível é considerada uma estimulação visual para superar os obstáculos enfrentados por um usuário ao usar um sistema. Estímulos invisíveis são confirmados alterando a intensidade da imagem e apresentando estimulação em alta velocidade. Para garantir a invisibilidade, foram testados estímulos de diferentes intensidades, sendo confirmado que os estímulos com intensidade de 5% eram invisíveis. Para melhorar o desempenho da verificação, uma transformada wavelet contínua foi introduzida sobre a transformada de Fourier porque extrai informações de tempo e frequência da onda cerebral. O escalograma obtido pela transformada wavelet foi utilizado como característica individual e para sincronização do template e dos dados de teste. Além disso, para melhorar o desempenho da sincronização, a banda de onda foi dividida com base na distribuição de energia do escalograma. Uma avaliação de desempenho com 20 sujeitos mostrou uma taxa de erro igual de 3.8%.
Atikur RAHMAN
Tottori University
Nozomu KINJO
DENSO TEN
Isao NAKANISHI
Tottori University
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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},}
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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 -