Related references
Note: Only part of the references are listed.Deep learning for EEG-based biometric recognition
Emanuele Maiorana
NEUROCOMPUTING (2020)
Adversarial Deep Learning in EEG Biometrics
Ozan Ozdenizci et al.
IEEE SIGNAL PROCESSING LETTERS (2019)
Robustness of functional connectivity metrics for EEG-based personal identification over task-induced intra-class and inter-class variations
Matteo Fraschini et al.
PATTERN RECOGNITION LETTERS (2019)
Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States
Min Wang et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2019)
A Survey on Brain Biometrics
Qiong Gui et al.
ACM COMPUTING SURVEYS (2019)
Biometric Recognition Using Multimodal Physiological Signals
Simone Bianco et al.
IEEE ACCESS (2019)
Learning Deep Off-the-Person Heart Biometrics Representations
Eduardo Jose da Silva Luz et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
Longitudinal Evaluation of EEG-Based Biometric Recognition
Emanuele Maiorana et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
Joao Ribeiro Pinto et al.
IEEE ACCESS (2018)
On the Usability of Electroencephalographic Signals for Biometric Recognition: A Survey
Su Yang et al.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2017)
CEREBRE: A Novel Method for Very High Accuracy Event-Related Potential Biometric Identification
Maria V. Ruiz-Blondet et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2016)
On the Permanence of EEG Signals for Biometric Recognition
Emanuele Maiorana et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2016)
EEG signal preprocessing for biometric recognition
Emanuele Maiorana et al.
MACHINE VISION AND APPLICATIONS (2016)
Brain Waves for Automatic Biometric-Based User Recognition
Patrizio Campisi et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2014)
PhysioBank, PhysioToolkit, and PhysioNet - Components of a new research resource for complex physiologic signals
AL Goldberger et al.
CIRCULATION (2000)
Share Paper
