Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to
imagined speech, then processes and decodes these signals to produce a linguistic output …

When interacting with technical systems, users experience mental workload. Particularly in
multitasking scenarios (eg, interacting with the car navigation system while driving) it is …

Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …

An accurate measure of mental workload level has diverse neuroergonomic applications
ranging from brain computer interfacing to improving the efficiency of human operators. In …

Speech interfaces have become widely accepted and are nowadays integrated in various
real-life applications and devices. They have become a part of our daily life. However …

Objective. Most brain–computer interfaces (BCIs) based on functional near-infrared
spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental …

Decoding speech and speech-related processes directly from the human brain has
intensified in studies over recent years as such a decoder has the potential to positively …

A brain-computer interface that measures the mental workload level of operators has
applications in human-computer interactions (HCI) for reducing human error and improving …

Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the
Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these …