SIMULATOR OF BEHAVIOURAL ASPECTS FOR SAFER TRANSPORT

Rezultaty

Description of how data are collected, organized, managed, stored, secured, back- up, preserved, and where applicable, shared

Dissemination/Communication Plan
Simulator Sickness Mitigation strategies (task requisites, screening procedures, sickness database structure)

Simulator sickness mitigation strategies (task dependency, enhanced screening, database development..) description

Simulator environment Hardware and software specifications

Definition of API standards, architecture for the development of the modular structure of the Simulator Environment based in the client-server model, determination of software and hardware requisites.

Study protocols for the test

Details on recruitment, inclusion and exclusion criteria and informed consent procedures of all participants in the test

New proactive safety devices future developments
Report of European map of training modules
Framework and Recommendations for improved road safety measures at EU Level
Risk mitigation plan

In order to be able to provide reviews of progress and monitor risk mitigation needs, a Risk mitigation plan will be created and review during the technical and general meetings

Branding box of all Dissemination material.

Branding box of all Dissemination material

Project manual and Quality Plan

"To ensure quality during the project deployment the project management will follow the quality assurance methodology based on Standard UNE 166001: ""R&D&I Management: Requirements for R&D&I projects"

Correlative real-simulation data report and assessment

Correlative realsimulation data report and assessment

Simulators cockpits

Web page
Media campaign

Publikacje

Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video

Autorzy: José Aleixo Cruz, Thiago R. P. M. Rúbio, João Jacob, Daniel Garrido, Henrique Lopes Cardoso, Daniel Silva, Rui Rodrigues
Opublikowane w: Intelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II, Numer 12490, 2020, Strona(/y) 594-601, ISBN 978-3-030-62364-7
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-62365-4_58

Cloud-Based Data Analytics on Human Factor Measurement to Improve Safer Transport

Autorzy: Mobyen Uddin Ahmed, Shahina Begum, Carlos Alberto Catalina, Lior Limonad, Bertil Hök, Gianluca Di Flumeri
Opublikowane w: Internet of Things (IoT) Technologies for HealthCare, Numer 225, 2018, Strona(/y) 101-106, ISBN 978-3-319-76212-8
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-76213-5_14

Study on human subjects – influence of stress and alcohol in simulated traffic situations

Autorzy: Mobyen Uddin Ahmed; Mir Riyanul Islam; Shaibal Barua; Bertil Hök; Emma Jonforsen; Shahina Begum
Opublikowane w: Open Research Europe, Numer 1, 2021, ISSN 2732-5121
Wydawca: Open Research Europe - European Commission
DOI: 10.12688/openreseurope.13592.1

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

Autorzy: Vincenzo Ronca, Andrea Giorgi, Dario Rossi, Antonello Di Florio, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Alessia Vozzi, Luca Tamborra, Ilaria Simonetti, Gianluca Borghini
Opublikowane w: Sensors, Numer 21/5, 2021, Strona(/y) 1607, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21051607

Correlation and Similarity between Cerebral and Non-Cerebral Electrical Activity for User’s States Assessment

Autorzy: Gianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Fabio Babiloni
Opublikowane w: Sensors, Numer 19/3, 2019, Strona(/y) 704, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19030704

EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings

Autorzy: Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Nicolina Sciaraffa, Paola Lanzi, Simone Pozzi, Valeria Vignali, Claudio Lantieri, Arianna Bichicchi, Andrea Simone, Fabio Babiloni
Opublikowane w: Frontiers in Human Neuroscience, Numer 12, 2018, ISSN 1662-5161
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnhum.2018.00509

Passive BCI beyond the lab: current trends and future directions

Autorzy: P Aricò, G Borghini, G Di Flumeri, N Sciaraffa, F Babiloni
Opublikowane w: Physiological Measurement, Numer 39/8, 2018, Strona(/y) 08TR02, ISSN 0967-3334
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6579/aad57e

The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability

Autorzy: Gianluca Di Flumeri, Pietro Aricò, Gianluca Borghini, Nicolina Sciaraffa, Antonello Di Florio, Fabio Babiloni
Opublikowane w: Sensors, Numer 19/6, 2019, Strona(/y) 1365, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19061365

Brain–Computer Interface-Based Adaptive Automation to Prevent Out-Of-The-Loop Phenomenon in Air Traffic Controllers Dealing With Highly Automated Systems

Autorzy: Gianluca Di Flumeri, Francesca De Crescenzio, Bruno Berberian, Oliver Ohneiser, Jan Kramer, Pietro Aricò, Gianluca Borghini, Fabio Babiloni, Sara Bagassi, Sergio Piastra
Opublikowane w: Frontiers in Human Neuroscience, Numer 13, 2019, ISSN 1662-5161
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnhum.2019.00296

How Neurophysiological Measures Can be Used to Enhance the Evaluation of Remote Tower Solutions

Autorzy: Pietro Aricò, Maxime Reynal, Gianluca Di Flumeri, Gianluca Borghini, Nicolina Sciaraffa, Jean-Paul Imbert, Christophe Hurter, Michela Terenzi, Ana Ferreira, Simone Pozzi, Viviana Betti, Matteo Marucci, Alexandru C. Telea, Fabio Babiloni
Opublikowane w: Frontiers in Human Neuroscience, Numer 13, 2019, ISSN 1662-5161
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fnhum.2019.00303

Neurophysiological Vigilance Characterisation and Assessment: Laboratory and Realistic Validations Involving Professional Air Traffic Controllers

Autorzy: Marika Sebastiani, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Fabio Babiloni, Gianluca Borghini
Opublikowane w: Brain Sciences, Numer 10/1, 2020, Strona(/y) 48, ISSN 2076-3425
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci10010048

Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification

Autorzy: Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum
Opublikowane w: Brain Sciences, Numer 10/8, 2020, Strona(/y) 526, ISSN 2076-3425
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci10080526

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

Autorzy: Gianluca Borghini, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Stefano Bonelli, Martina Ragosta, Paola Tomasello, Fabrice Drogoul, Uğur Turhan, Birsen Acikel, Ali Ozan, Jean Paul Imbert, Géraud Granger, Railane Benhacene, Fabio Babiloni
Opublikowane w: Scientific Reports, Numer 10/1, 2020, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-020-65610-z

Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task

Autorzy: Nicolina Sciaraffa, Gianluca Borghini, Gianluca Di Flumeri, Febo Cincotti, Fabio Babiloni, Pietro Aricò
Opublikowane w: Brain Sciences, Numer 11/5, 2021, Strona(/y) 562, ISSN 2076-3425
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11050562

A Novel Mutual Information Based Feature Set for Drivers’ Mental Workload Evaluation Using Machine Learning

Autorzy: Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri
Opublikowane w: Brain Sciences, Numer 10/8, 2020, Strona(/y) 551, ISSN 2076-3425
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci10080551

Convolutional Neural Network for Driving Maneuver Identification Based on Inertial Measurement Unit (IMU) and Global Positioning System (GPS)

Autorzy: Mobyen Uddin Ahmed, Shahina Begum
Opublikowane w: Frontiers in Sustainable Cities, Numer 2, 2020, ISSN 2624-9634
Wydawca: frontiersin
DOI: 10.3389/frsc.2020.00034

Artificial Intelligence for Non-Contact-Based Driver Health Monitoring

Autorzy: Rahman, Hamidur
Opublikowane w: 2021, ISBN 978-91-7485-499-2
Wydawca: Mälardalen University Press Dissertations, ISSN 1651-4238 ; 330

An approach to player's attention modelling in virtual reality environments

Autorzy: Casimiro, António
Opublikowane w: Numer 1, 2018
Wydawca: University of Porto
DOI: 10.5281/zenodo.3878525

Agent-Based Modelling via Pedestrian Behaviour Elicitation in Virtual Reality

Autorzy: Costa, João
Opublikowane w: Numer 1, 2019
Wydawca: University of Porto
DOI: 10.5281/zenodo.3878516

Simulating Driver-Pedestrian Interactions and Intentions Inference

Autorzy: Soares, Rui
Opublikowane w: Numer 1, 2019
Wydawca: University of Porto
DOI: 10.5281/zenodo.3878512

Testing Driver Attention in Virtual Environments Through Audio Cues

Autorzy: Loureiro, João
Opublikowane w: Numer 1, 2019
Wydawca: University of Porto
DOI: 10.5281/zenodo.3878509

Human-Machine Interaction Assessment by Neurophysiological Measures: A Study on Professional Air Traffic Controllers

Autorzy: Pietro Arico, Maxime Reynal, Jean-Paul Imbert, Christophe Hurter, Gianluca Borghini, Gianluca Di Flumeri, Nicolina Sciaraffa, Antonio Di Florio, Michela Terenzi, Ana Ferreira, Simone Pozzi, Viviana Betti, Matteo Marucci, Enea Pavone, Alexandru C. Telea, Fabio Babiloni
Opublikowane w: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Strona(/y) 4619-4622, ISBN 978-1-5386-3646-6
Wydawca: IEEE
DOI: 10.1109/embc.2018.8513212

Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers' Mental Workload Classification

Autorzy: Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Gianluca Di Flumeri
Opublikowane w: The 3rd International Symposium on Human Mental Workload: Models and Applications (H-WORKLOAD 2019), 2019
Wydawca: Human Mental Workload: Models and Applications

Using Virtual Reality Environments to Predict Pedestrian Behaviour

Autorzy: Joao Filipe Costa, Joao Jacob, Thiago Rubio, Daniel Silva, Henrique Lopes Cardoso, Sara Ferreira, Rui Rodrigues, Eugenio Oliveira, Rosaldo J. F. Rossetti
Opublikowane w: 2019 IEEE International Smart Cities Conference (ISC2), 2019, Strona(/y) 508-513, ISBN 978-1-7281-0846-9
Wydawca: IEEE
DOI: 10.1109/isc246665.2019.9071662

Reaction Time Variability Association with Unsafe Driving

Autorzy: This paper investigates several human factors including visual field, reaction speed, driving behavior and personality traits based on results of a cognitive assessment test targeting drivers in a Naturalistic Driving Study (NDS). Frequency of being involved in Near Miss event (fnm) and Frequency of committing Traffic Violation (ftv) are defined as indexes of safe driving in this work. Inference o
Opublikowane w: Transport Research Arena TRA2020, Helsinki, Finland, 2020, 2020
Wydawca: TRA

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