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Survey of EEG-based biometric authentication
2017
2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)
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User authentication systems based on EEG (electroencephalography) is currently popular, marking an inflection point in the field. ...
Several types of methodical approaches have been proposed and prototyped to analyze EEG data with various signal-processing methods and pattern-recognition algorithms. ...
Both wet and dry electrode setups showed 100% accuracy with 10.7 s and 27.0 s average login times respectively with more trials. ...
doi:10.1109/icawst.2017.8256471
dblp:conf/icawst/JayarathneCA17
fatcat:mryzw5wkt5h6dhtsdsqjdehdxq
Anti-deception: reliable EEG-based biometrics with real-time capability from the neural response of face rapid serial visual presentation
2018
BioMedical Engineering OnLine
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Results: In contrast to previous studies that extracted EEG features from rest state or motor imagery, the designed paradigm could obtain a distinct and stable biometric trait with a lower time cost. ...
In order to enhance its applicability in identity authentication, a novel EEG-based identity authentication method is proposed based on self-or non-self-face rapid serial visual presentation. ...
Ethics approval and consent to participate This study was conducted after we acquired informed consent and Ethics Committee approval of China National Digital Switching System Engineering and Technological ...
doi:10.1186/s12938-018-0483-7
pmid:29724232
pmcid:PMC5934893
fatcat:5rrfwy2zyfgydlc3p7x3xgp6fi
An EEG-Based Person Authentication System with Open-Set Capability Combining Eye Blinking Signals
2018
Sensors
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In this paper, a multi-task EEG-based person authentication system combining eye blinking is proposed, which can achieve high precision and robustness. ...
The designed paradigm could obtain a distinct and stable biometric trait from EEG with a lower time cost. ...
Moreover, with the development of technology, wireless EEG devices with dry electrodes have been produced. ...
doi:10.3390/s18020335
pmid:29364848
pmcid:PMC5855894
fatcat:gvmfkq5xdfbata57rdsuemdzsi