This paper examines the possibility of classifying characters viewed by subjects using single-trial Electroencephalogram (EEG) waveforms from the frontal and occipital areas of the brain. As a training data set, Event-Related Potentials (ERPs) were ...
Automatic identification of a person’s individuality is an important issue today. Brain Computer Interfaces (BCI) which uses EEG as a modality is a promising area for cognitive biometrics. A BCI system could be used to recognise a sequence (say letters, ...
This paper reviews the emerging research into exploitation of heartbeat data as a biometric for human identification. A variety of methods have been proposed for acquiring heartbeat signatures and a range of processing methods has been examined. We ...
The PhysioNet is a very popular internet-based ECG repository which provides open access to a variety of ECG datasets. The data is collected from subjects within a medical framework, with the intention of acquiring clinically relevant information from ...