In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …

Considerable progress has been made in improving the estimation accuracy of cognitive
workload using various sensor technologies. However, the overall performance of different …

Objective. Brain–computer interface (BCI) refers to procedures that link the central nervous
system to a device. BCI was historically performed using electroencephalography (EEG). In …

Increasing number of research activities and different types of studies in brain‐computer
interface (BCI) systems show potential in this young research area. Research teams have …

Neuroergonomics is an emerging science that is defined as the study of the human brain in
relation to performance at work and in everyday settings. This paper provides a critical …

We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using
electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we …

As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

There has been considerable interest in applying electroencephalography (EEG) and
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …

The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-
signal classification that can be used in the formulation of control commands. In the present …

There is growing interest for implementing tools to monitor cognitive performance in
naturalistic environments. Recent technological progress has allowed the development of …