Skills assessment metrics of electric powered wheelchair driving in a virtual environment: a survey.

Autor: de Sá AAR; Faculty of Electrical Engineering, Federal University of Uberlândia, Assistive Technologies Group, Av Joao Naves de Avila, 2160 - Bloco 3N, Uberlandia, Brazil. angelaabreu@gmail.com., Morère Y; LCOMS - Laboratoire de Conception, Optimisation Et Modélisation Des Systèmes, Université de Lorraine, 7 rue Marconi, 57070, Metz, France., Naves ELM; Faculty of Electrical Engineering, Federal University of Uberlândia, Assistive Technologies Group, Av Joao Naves de Avila, 2160 - Bloco 3N, Uberlandia, Brazil.
Jazyk: angličtina
Zdroj: Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Feb; Vol. 60 (2), pp. 323-335. Date of Electronic Publication: 2022 Jan 10.
DOI: 10.1007/s11517-022-02500-8
Abstrakt: The purpose of this review is to present studies on the parameters for assessing the skills of users of electric wheelchair driving simulators in a virtual environment. In addition, this study also aims to identify the most widely used and validated parameters for the quantification of electric wheelchair driving ability in a virtual environment and to suggest challenges for future research. To carry out this research, the criteria of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were adopted. Literature searches in English, French, and Portuguese were conducted up to December 2020 in the PubMed, SciELO, Science Direct, World Wide Science, and Scopus databases. The keywords used were electric wheelchair, simulator, performance indicators, performance skills, driving skills, training platform, virtual environment, and virtual reality. We excluded studies involving "real" wheelchairs without a simulator in a virtual environment. We have selected a total of 42 items. In these studies, we identified 32 parameters (3 qualitative and 29 quantitative) that are used as parameters for the evaluation of the ability to control a powered wheelchair in a virtual environment. Although the amount of research in this area has increased significantly in recent years, additional studies are still needed to provide a more accurate and objective assessment of skills among the target population. A challenge for future work is the increasing application of artificial intelligence techniques and the exploration of biomedical data measurements, which may be a promising alternative to improve the quantification of user competencies.
(© 2022. International Federation for Medical and Biological Engineering.)
Databáze: MEDLINE
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