Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

Electroencephalogram (EEG) measures the neuronal activities in the form of electric
currents that are generated due to the synchronized activity by a group of specialized …

Providing a broad but in-depth introduction to neural network and machine learning in a
statistical framework, this book provides a single, comprehensive resource for study and …

Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …

Tenderness, juiciness, and flavor have been associated with consumer acceptance of beef,
lamb, and pork. Drivers of consumer liking are interrelated across these species, but there …

The use of EEG biometrics, for the purpose of automatic people recognition, has received
increasing attention in the recent years. Most of the current analyses rely on the extraction of …

Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …

The human brain continually generates electrical potentials representing neural
communication. These potentials can be measured at the scalp, and constitute the …

The vast majority of existing work on brain biometrics has been conducted on the ongoing
electroencephalogram. Here, we argue that the averaged event-related potential (ERP) may …

Highly secure access control requires Swiss-cheese-type multi-layer security protocols. The
use of electroencephalogram (EEG) to provide cognitive indicators for human workload and …