Functional near-infrared spectroscopy (fNIRS), known as a non-invasive optical
neuroimaging technique, is currently used to assess brain dynamics during the performance …

As a non-invasive optical neuroimaging technique, functional near infrared spectroscopy
(fNIRS) is currently used to assess brain dynamics during the performance of complex works …

There is high demand for techniques to estimate human mental workload during some
activities for productivity enhancement or accident prevention. Most studies focus on a single …

Variations in the brain's blood oxygenation and deoxygenation reflect neuronal activation
patterns, and can be measured using functional near infrared spectroscopy (fNIRS). We aim …

Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially
more suitable (than eg EEG) for brain-based Human Computer Interaction (HCI). While …

The classification of workload memory tasks based on fNIRS and EEG signals requires
solving high-dimensional pattern classification problems with a relatively small number of …

Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique that measures
cortical blood flow to infer neural activation. Traditionally limited to laboratory settings due to …

Mental workload classification is a core element of designing adaptive Human-Computer
Interfaces and plays an essential role in increasing the safety and operator performance of …

We studied the capability of a Hybrid functional neuroimaging technique to quantify human
mental workload (MWL). We have used electroencephalography (EEG) and functional near …

Knowing the actual level of mental workload is important to ensure the efficacy of brain-
computer interface (BCI) based cognitive training. Extracting signals from limited area of a …