User profiles for Gianluca Borghini
Gianluca BorghiniSapienza University of Rome - BrainSigns srl Verified email at uniroma1.it Cited by 5813 |
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
This paper reviews published papers related to neurophysiological measurements (electroencephalography:
EEG, electrooculography EOG; heart rate: HR) in pilots/drivers during their …
EEG, electrooculography EOG; heart rate: HR) in pilots/drivers during their …
Brainshield: HREEG study of perceived pilot mental workload
The aim of the research project Brainshield is to investigate the possibility of predicting and
documenting, through analysis of brain activity, the perceived pilot’s mental workload during …
documenting, through analysis of brain activity, the perceived pilot’s mental workload during …
[HTML][HTML] Adaptive automation triggered by EEG-based mental workload index: a passive brain-computer interface application in realistic air traffic control environment
Adaptive Automation (AA) is a promising approach to keep the task workload demand
within appropriate levels in order to avoid both the under- and over-load conditions, hence …
within appropriate levels in order to avoid both the under- and over-load conditions, hence …
Passive BCI beyond the lab: current trends and future directions
Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real-time …
acquisition technologies have experienced a significant growth that has allowed the real-time …
Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices
Driving tasks are vulnerable to the effects of sleep deprivation and mental fatigue, diminishing
driver's ability to respond effectively to unusual or emergent situations. Physiological and …
driver's ability to respond effectively to unusual or emergent situations. Physiological and …
[HTML][HTML] Investigating cooperative behavior in ecological settings: an EEG hyperscanning study
The coordinated interactions between individuals are fundamental for the success of the
activities in some professional categories. We reported on brain-to-brain cooperative …
activities in some professional categories. We reported on brain-to-brain cooperative …
[HTML][HTML] A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the growth
and increased complexity of aviation and has to be improved in order to maintain aviation …
and increased complexity of aviation and has to be improved in order to maintain aviation …
[HTML][HTML] The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence
Real-world experience is typically multimodal. Evidence indicates that the facilitation in the
detection of multisensory stimuli is modulated by the perceptual load, the amount of …
detection of multisensory stimuli is modulated by the perceptual load, the amount of …
[HTML][HTML] The dry revolution: Evaluation of three different EEG dry electrode types in terms of signal spectral features, mental states classification and usability
One century after the first recording of human electroencephalographic (EEG) signals, EEG
has become one of the most used neuroimaging techniques. The medical devices industry is …
has become one of the most used neuroimaging techniques. The medical devices industry is …
A passive brain–computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks
In the last decades, it has been a fast-growing concept in the neuroscience field. The passive
brain–computer interface (p-BCI) systems allow to improve the human–machine interaction …
brain–computer interface (p-BCI) systems allow to improve the human–machine interaction …