Suppr超能文献

电动轮椅在虚拟环境中的驾驶技能评估指标:一项调查。

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

机构信息

Faculty of Electrical Engineering, Federal University of Uberlândia, Assistive Technologies Group, Av Joao Naves de Avila, 2160 - Bloco 3N, Uberlandia, Brazil.

LCOMS - Laboratoire de Conception, Optimisation Et Modélisation Des Systèmes, Université de Lorraine, 7 rue Marconi, 57070, Metz, France.

出版信息

Med Biol Eng Comput. 2022 Feb;60(2):323-335. doi: 10.1007/s11517-022-02500-8. Epub 2022 Jan 10.

Abstract

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.

摘要

本文旨在介绍评估电动轮椅驾驶模拟器虚拟环境中用户技能的参数研究。此外,本研究还旨在确定虚拟环境中量化电动轮椅驾驶能力最广泛使用和验证的参数,并提出未来研究的挑战。为了进行这项研究,采用了系统评价和荟萃分析的首选报告项目(PRISMA)标准。截至 2020 年 12 月,在 PubMed、SciELO、Science Direct、World Wide Science 和 Scopus 数据库中以英语、法语和葡萄牙语进行了文献检索。使用的关键词是电动轮椅、模拟器、性能指标、性能技能、驾驶技能、培训平台、虚拟环境和虚拟现实。我们排除了涉及在虚拟环境中没有模拟器的“真实”轮椅的研究。我们共选择了 42 项研究。在这些研究中,我们确定了 32 个参数(3 个定性和 29 个定量),这些参数可作为评估在虚拟环境中控制动力轮椅能力的参数。尽管近年来该领域的研究数量显著增加,但仍需要进一步研究,以更准确、客观地评估目标人群的技能。未来工作的一个挑战是人工智能技术的应用不断增加,以及探索生物医学数据测量,这可能是改善用户能力量化的有前途的替代方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验