ADRIS: The new open-source accessible driving simulator for training and evaluation of driving abilities.

Automobile Driving / education Computer Simulation Disabled Persons Humans Motor Disorders Virtual Reality
Customizable Driving simulator Open-source Various difficulties scenarios Virtual reality

Journal

Computer methods and programs in biomedicine
ISSN: 1872-7565
Titre abrégé: Comput Methods Programs Biomed
Pays: Ireland
ID NLM: 8506513

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 26 01 2022
revised: 02 05 2022
accepted: 04 05 2022
pubmed: 22 5 2022
medline: 28 6 2022
entrez: 21 5 2022
Statut: ppublish

Résumé

Independent living and transportation are crucial aspects for people living with a disability. After an injury, it is important to assess driving ability, in terms of physical and psychological conditions, and to test the effects of prescribed drugs. Within this framework, driving simulators are suitable tools for training driving skills; however, available tools are expensive or lack appropriate sets of behavioral measures to fully characterize the drivers' ability. This work presents the first step toward the development of ADRIS, a new open-source, accessible, realistic virtual reality simulator for training and testing driving skills of people with sensory-motor disability. This includes a prototype based on an open-source simulator for autonomous driving research (CARLA), with the addition of customized features such as adaptable driving controllers, a virtual reality headset, and the possibility to collect behavioral and physiological data. Also, the new system allows to set different environmental conditions, to include and control the timing of potentially dangerous situations, and to set scenarios with various difficulty levels. Tests on 17 healthy participants demonstrated that the simulator is well tolerated in terms of discomfort, physical fatigue, and mental effort. Also, the system is easy to use and is capable of providing a realistic driving experience, allowing the extraction of reliable behavioral parameters. ADRIS combines a high-fidelity virtual world, with customizable features specifically designed for the training and testing of people living with a disability, thus making it usable in many contexts such as home training, rehabilitation, education, and research.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
Independent living and transportation are crucial aspects for people living with a disability. After an injury, it is important to assess driving ability, in terms of physical and psychological conditions, and to test the effects of prescribed drugs. Within this framework, driving simulators are suitable tools for training driving skills; however, available tools are expensive or lack appropriate sets of behavioral measures to fully characterize the drivers' ability.
METHODS METHODS
This work presents the first step toward the development of ADRIS, a new open-source, accessible, realistic virtual reality simulator for training and testing driving skills of people with sensory-motor disability. This includes a prototype based on an open-source simulator for autonomous driving research (CARLA), with the addition of customized features such as adaptable driving controllers, a virtual reality headset, and the possibility to collect behavioral and physiological data. Also, the new system allows to set different environmental conditions, to include and control the timing of potentially dangerous situations, and to set scenarios with various difficulty levels.
RESULTS RESULTS
Tests on 17 healthy participants demonstrated that the simulator is well tolerated in terms of discomfort, physical fatigue, and mental effort. Also, the system is easy to use and is capable of providing a realistic driving experience, allowing the extraction of reliable behavioral parameters.
CONCLUSIONS CONCLUSIONS
ADRIS combines a high-fidelity virtual world, with customizable features specifically designed for the training and testing of people living with a disability, thus making it usable in many contexts such as home training, rehabilitation, education, and research.

Identifiants

DOI: 10.1016/j.cmpb.2022.106857 PMID: 35597201
pubmed: 35597201
pii: S0169-2607(22)00239-5
doi: 10.1016/j.cmpb.2022.106857
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106857

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The author(s) declare no competing interests.

Auteurs

S Ricci (S)

Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Via Pastore 3, Genova 16132, Italy; Simulation and Advanced Education Center, University of Genova, Via all'Opera Pia 13, Genova 16145, Italy. Electronic address: serena.ricci@edu.unige.it.

F Gandolfi (F)

Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Via Pastore 3, Genova 16132, Italy.

G Marchesi (G)

Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Via Pastore 3, Genova 16132, Italy.

A Bellitto (A)

Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Via Pastore 3, Genova 16132, Italy; Spinal Cord Italian Laboratory, Spinal Cord Unit, Santa Corona Hospital, ASL2 Savonese, Pietra Ligure, Italy.

A Basteris (A)

Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.

A Canessa (A)

Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Via Pastore 3, Genova 16132, Italy.

A Massone (A)

Spinal Cord Italian Laboratory, Spinal Cord Unit, Santa Corona Hospital, ASL2 Savonese, Pietra Ligure, Italy.

M Casadio (M)

Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Via Pastore 3, Genova 16132, Italy; Simulation and Advanced Education Center, University of Genova, Via all'Opera Pia 13, Genova 16145, Italy; Spinal Cord Italian Laboratory, Spinal Cord Unit, Santa Corona Hospital, ASL2 Savonese, Pietra Ligure, Italy. Electronic address: maura.casadio@unige.it.

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Classifications MeSH

questionsmedicales.fr › Activités humaines › Conduite automobile › ADRIS: The new open-source accessible driving...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Simulation numérique › ADRIS: The new open-source accessible driving...
questionsmedicales.fr › Personnes › Personnes handicapées › ADRIS: The new open-source accessible driving...
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questionsmedicales.fr › Troubles mentaux › Troubles moteurs › ADRIS: The new open-source accessible driving...
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