Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other hand, keystroke dynamics-based systems achieve very high accuracy but have l...

Full description

Bibliographic Details
Main Authors: Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, Muhammad Abdul Kadir
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Biometric system
electroencephalography (EEG)
keystroke dynamics
identification
authentication
multimodal system
Online Access:https://ieeexplore.ieee.org/document/9466102/

Internet

https://ieeexplore.ieee.org/document/9466102/

Similar Items