Driver emotions recognition based on improved faster R-CNN and neural architectural search network

K Zaman, Z Sun, SM Shah, M Shoaib, L Pei, A Hussain - Symmetry, 2022 - mdpi.com
It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …

Evaluation of a new lightweight EEG technology for translational applications of passive brain-computer interfaces

N Sciaraffa, G Di Flumeri, D Germano… - Frontiers in Human …, 2022 - frontiersin.org
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 …

Neurophysiological assessment of an innovative maritime safety system in terms of ship operators' mental workload, stress, and attention in the full mission bridge …

V Ronca, E Uflaz, O Turan, H Bantan, SN MacKinnon… - Brain Sciences, 2023 - mdpi.com
The current industrial environment relies heavily on maritime transportation. Despite the
continuous technological advances for the development of innovative safety software and …

A neuroergonomic approach fostered by wearable EEG for the multimodal assessment of drivers trainees

G Di Flumeri, A Giorgi, D Germano, V Ronca, A Vozzi… - Sensors, 2023 - mdpi.com
When assessing trainees' progresses during a driving training program, instructors can only
rely on the evaluation of a trainee's explicit behavior and their performance, without having …

Listening effort in tinnitus: a pilot study employing a light EEG headset and skin conductance assessment during the listening to a continuous speech stimulus under …

G Cartocci, BMS Inguscio, G Giliberto, A Vozzi, A Giorgi… - Brain Sciences, 2023 - mdpi.com
Background noise elicits listening effort. What else is tinnitus if not an endogenous
background noise? From such reasoning, we hypothesized the occurrence of increased …

Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving

A Giorgi, V Ronca, A Vozzi, P Aricò… - Frontiers in …, 2023 - frontiersin.org
The human factor plays a key role in the automotive field since most accidents are due to
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …

Measurement and Quantification of Stress in the Decision Process: A Model-Based Systematic Review

C Su, M Zangeneh Soroush… - Intelligent …, 2024 - spj.science.org
This systematic literature review comprehensively assesses the measurement and
quantification of decisional stress using a model-based, theory-driven approach. It adopts a …

o-CLEAN: A novel multi-stage algorithm for the ocular artifacts' correction from EEG data in out-of-the-lab applications

V Ronca, G Di Flumeri, A Giorgi, A Vozzi… - Journal of Neural …, 2024 - iopscience.iop.org
In the context of electroencephalographic (EEG) signal processing, artifacts generated by
ocular movements, such as blinks, are significant confounding factors. These artifacts …

Study of the Acute Stress Effects on Decision Making Using Electroencephalography and Functional Near-Infrared Spectroscopy: A Systematic Review

A Abdalhadi, N Koundal, MZ Yusoff… - IEEE …, 2024 - ieeexplore.ieee.org
This systematic review provides a comprehensive analysis of studies that use
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to …

Input Shape Effect on Classification Performance of Raw EEG Motor Imagery Signals with Convolutional Neural Networks for Use in Brain—Computer Interfaces

E Arı, E Taçgın - Brain Sciences, 2023 - mdpi.com
EEG signals are interpreted, analyzed and classified by many researchers for use in brain–
computer interfaces. Although there are many different EEG signal acquisition methods, one …