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

被引:2
|
作者
de Sa, Angela A. R. [1 ]
Morere, Yann [2 ]
Naves, Eduardo L. M. [1 ]
机构
[1] Univ Fed Uberlandia, Assist Technol Grp, Fac Elect Engn, Av Joao Naves Avila,2160 Bloco 3N, Uberlandia, MG, Brazil
[2] Univ Lorraine, LCOMS Lab Concept Optimisat & Modelisat Des Syst, 7 Rue Marconi, F-57070 Metz, France
关键词
Electric powered wheelchair; Virtual environment; Simulator; Skills driving; REALITY; PERFORMANCE; USERS; NAVIGATION; SIMULATOR; PEOPLE; INTERFACES;
D O I
10.1007/s11517-022-02500-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:323 / 335
页数:13
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