Secure and reliable sensing plays the key role for cognitive tracking ie, activity identification
and cognitive monitoring of every individual. Over the last years there has been an …

Brain signals have been investigated within the medical field for more than a century to
study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's …

Background. Brain waves (electroencephalograms, EEG) can provide conscious,
continuous human authentication for the proposed system. The advantage of brainwave …

EEG-based human recognition is increasingly becoming a popular modality for biometric
authentication. Two important features of EEG signals are liveliness and the robustness …

The use of electroencephalogram (EEG) as a biometrics modality has been investigated for
about a decade; however, its feasibility in real-world applications is not yet conclusively …

The electroencephalogram (EEG) signal represents a subject's specific brain activity
patterns and is considered as an ideal biometric given its superior forgery prevention …

From the viewpoint of user management, continuous authentication is effective. However,
general biometrics such as fingerprint, iris, vein, and so on are not suitable for the …

Electroencephalography is potentially more secure and privacy-compliant than traditional
biometric identifiers. A related video can be seen here: http://youtu. be/5f0zflJRnvc. It depicts …

In recent years, biometric techniques (eg, fingerprint or iris) are increasingly integrated into
mobile devices to offer security advantages over traditional practices (eg, passwords and …

Research on using electroencephalographic signals for biometric recognition has made
considerable progress and is attracting growing attention in recent years. However, the …