Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …

The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …

Immersive virtual reality (VR) enables naturalistic neuroscientific studies while maintaining
experimental control, but dynamic and interactive stimuli pose methodological challenges …

Supervisory control environments, such as the NASA control room can induce high workload
levels in situations where a single error is capable of costing millions of dollars. An …

The integration of machine/deep learning and sensing technologies is transforming
healthcare and medical practice. However, inherent limitations in healthcare data, namely …

With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is
unlimited potential for applications ranging from education, to training, to entertainment, to …

The effectiveness of workload identification is one of the critical aspects in a monitoring
instrument of mental state. In this field, the workload is usually recognized as binary classes …

Mental stress is a major individual and societal burden and one of the main contributing
factors that lead to pathologies such as depression, anxiety disorders, heart attacks, and …

Technologies like passive brain-computer interfaces (BCI) can enhance human-machine
interaction. Anyhow, there are still shortcomings in terms of easiness of use, reliability, and …

We aimed to evaluate the effects of mental workload variations, as a function of the road
environment, on the brain activity of army drivers performing combat and non-combat …