Search Results - "BABILONI, Fabio"
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Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
Published in Neuroscience and biobehavioral reviews (01-07-2014)“…This paper reviews published papers related to neurophysiological measurements (electroencephalography: EEG, electrooculography EOG; heart rate: HR) in…”
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The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence
Published in Scientific reports (01-03-2021)“…Real-world experience is typically multimodal. Evidence indicates that the facilitation in the detection of multisensory stimuli is modulated by the perceptual…”
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A Review on Mental Stress Assessment Methods Using EEG Signals
Published in Sensors (Basel, Switzerland) (26-07-2021)“…Mental stress is one of the serious factors that lead to many health problems. Scientists and physicians have developed various tools to assess the level of…”
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Passive BCI in Operational Environments: Insights, Recent Advances, and Future Trends
Published in IEEE transactions on biomedical engineering (01-07-2017)“…Goal: This minireview aims to highlight recent important aspects to consider and evaluate when passive brain-computer interface (pBCI) systems would be…”
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The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability
Published in Sensors (Basel, Switzerland) (19-03-2019)“…One century after the first recording of human electroencephalographic (EEG) signals, EEG has become one of the most used neuroimaging techniques. The medical…”
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Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study
Published in PloS one (28-04-2016)“…The coordinated interactions between individuals are fundamental for the success of the activities in some professional categories. We reported on…”
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Investigating Driver Fatigue versus Alertness Using the Granger Causality Network
Published in Sensors (Basel, Switzerland) (05-08-2015)“…Driving fatigue has been identified as one of the main factors affecting drivers' safety. The aim of this study was to analyze drivers' different mental…”
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EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings
Published in Frontiers in human neuroscience (18-12-2018)“…Car driving is considered a very complex activity, consisting of different concomitant tasks and subtasks, thus it is crucial to understand the impact of…”
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eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity
Published in Journal of neuroscience methods (15-02-2011)“…▶ Open source software for connectivity mapping from EEG and ECoG. ▶ Open source software for mapping connectivity over source domain from EEG. ▶ Comprehensive…”
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Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment
Published in Frontiers in human neuroscience (26-10-2016)“…(AA) is a promising approach to keep the task workload demand within appropriate levels in order to avoid both the - and conditions, hence enhancing the…”
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A LightGBM-Based EEG Analysis Method for Driver Mental States Classification
Published in Computational intelligence and neuroscience (2019)“…Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based…”
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An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction
Published in Sensors (Basel, Switzerland) (29-03-2021)“…Fatigued driving is one of the main causes of traffic accidents. The electroencephalogram (EEG)-based mental state analysis method is an effective and…”
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Brain–Computer Interface-Based Adaptive Automation to Prevent Out-Of-The-Loop Phenomenon in Air Traffic Controllers Dealing With Highly Automated Systems
Published in Frontiers in human neuroscience (06-09-2019)“…Increasing the level of automation in Air Traffic Management is seen as a measure to increase the performance of the service to satisfy the predicted future…”
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InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection
Published in Sensors (Basel, Switzerland) (17-12-2020)“…Electroencephalogram (EEG) is an effective indicator for the detection of driver fatigue. Due to the significant differences in EEG signals across subjects,…”
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The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field
Published in Sensors (Basel, Switzerland) (10-09-2021)“…The sample size is a crucial concern in scientific research and even more in behavioural neurosciences, where besides the best practice it is not always…”
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Correlation and Similarity between Cerebral and Non-Cerebral Electrical Activity for User's States Assessment
Published in Sensors (Basel, Switzerland) (09-02-2019)“…Human tissues own conductive properties, and the electrical activity produced by human organs can propagate throughout the body due to neuro transmitters and…”
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Mental Stress Management Using fNIRS Directed Connectivity and Audio Stimulation
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2023)“…In this study, we propose a method to enhance cognitive vigilance and mitigate mental stress in the workplace. We designed an experiment to induce stress by…”
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EEG-Based Cognitive Control Behaviour Assessment: an Ecological study with Professional Air Traffic Controllers
Published in Scientific reports (03-04-2017)“…Several models defining different types of cognitive human behaviour are available. For this work, we have selected the Skill, Rule and Knowledge (SRK) model…”
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Wearable Technologies for Electrodermal and Cardiac Activity Measurements: A Comparison between Fitbit Sense, Empatica E4 and Shimmer GSR3
Published in Sensors (Basel, Switzerland) (23-06-2023)“…The capability of measuring specific neurophysiological and autonomic parameters plays a crucial role in the objective evaluation of a human's mental and…”
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A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees
Published in Sensors (Basel, Switzerland) (01-10-2023)“…When assessing trainees' progresses during a driving training program, instructors can only rely on the evaluation of a trainee's explicit behavior and their…”
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