Towards online applications of EEG biometrics using visual evoked potentials

•Quantitatively compare the performance of three types of VEPs in person identification.•VEP data were collected on different days to evaluate the cross-session performance.•The online system achieved a cross-session CRR of 98.93% using 10.5-s EEG data. Electroencephalogram (EEG)-based biometrics ha...

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Veröffentlicht in:	Expert systems with applications 2021-09, Vol.177, p.114961, Article 114961
Hauptverfasser:	Zhao, Hongze, Chen, Yuanfang, Pei, Weihua, Chen, Hongda, Wang, Yijun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biometrics Electroencephalography Evoked potentials Human-computer interface Intervals On-line systems Pattern analysis Person identification Signal to noise ratio Template matching Visual evoked potentials Visual signals
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