[HTML][HTML] A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
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 …

An introductory tutorial on brain–computer interfaces and their applications

A Bonci, S Fiori, H Higashi, T Tanaka, F Verdini - Electronics, 2021 - mdpi.com
The prospect and potentiality of interfacing minds with machines has long captured human
imagination. Recent advances in biomedical engineering, computer science, and …

EEG-based emotion recognition using 4D convolutional recurrent neural network

F Shen, G Dai, G Lin, J Zhang, W Kong… - Cognitive …, 2020 - Springer
In this paper, we present a novel method, called four-dimensional convolutional recurrent
neural network, which integrating frequency, spatial and temporal information of …

The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence

M Marucci, G Di Flumeri, G Borghini, N Sciaraffa… - Scientific Reports, 2021 - nature.com
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 …

Validation of a light EEG-based measure for real-time stress monitoring during realistic driving

N Sciaraffa, G Di Flumeri, D Germano, A Giorgi… - Brain sciences, 2022 - mdpi.com
Driver's stress affects decision-making and the probability of risk occurrence, and it is
therefore a key factor in road safety. This suggests the need for continuous stress …

Wearable technologies for mental workload, stress, and emotional state assessment during working-like tasks: A comparison with laboratory technologies

A Giorgi, V Ronca, A Vozzi, N Sciaraffa, A Di Florio… - Sensors, 2021 - mdpi.com
The capability of monitoring user's performance represents a crucial aspect to improve
safety and efficiency of several human-related activities. Human errors are indeed among …

Automatic electroencephalogram artifact removal using deep convolutional neural networks

F Lopes, A Leal, J Medeiros, MF Pinto… - IEEE …, 2021 - ieeexplore.ieee.org
Scalp electroencephalogram (EEG) is a non-invasive measure of brain activity. It is widely
used in several applications including cognitive tasks, sleep stage detection, and seizure …

[HTML][HTML] Using IoT devices for sensor-based monitoring of employees' mental workload: Investigating managers' expectations and concerns

S Pütz, V Rick, A Mertens, V Nitsch - Applied ergonomics, 2022 - Elsevier
Although the objective assessment of mental workload has been a focus of human factors
research, few studies have investigated stakeholders' attitudes towards its implementation in …

Task difficulty and physiological measures of mental workload in air traffic control: a sco** review

M Pagnotta, DM Jacobs, PL de Frutos, R Rodríguez… - Ergonomics, 2022 - Taylor & Francis
This study provides a systematic synthesis of empirical research on mental workload (MWL)
in air traffic control (ATC). MWL is a key concept in research on innovative technologies …

A multimodal and signals fusion approach for assessing the impact of stressful events on Air Traffic Controllers

G Borghini, G Di Flumeri, P Aricò, N Sciaraffa… - Scientific reports, 2020 - nature.com
Stress is a word used to describe human reactions to emotionally, cognitively and physically
challenging experiences. A hallmark of the stress response is the activation of the autonomic …