Towards online applications of EEG biometrics using visual evoked potentials

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Biometrics,Electroencephalography,Person identification,Visual evoked potentials,Pattern analysis

论文评审过程：Received 24 April 2020, Revised 20 February 2021, Accepted 25 March 2021, Available online 30 March 2021, Version of Record 16 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114961