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通过仪器和导航系统改善轮椅路线规划。

Improving wheelchair route planning through instrumentation and navigation systems.

作者信息

Dzafic Dzenan, Candiotti Jorge L, Cooper Rory A

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5737-5740. doi: 10.1109/EMBC44109.2020.9176481.

DOI:10.1109/EMBC44109.2020.9176481
PMID:33019277
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8883793/
Abstract

Route planning is an important tool to reach points of interest. The current technology offers options for public transportation and pedestrians on the road and sidewalks, respectively. However, for people who use electric powered wheelchairs (EPW) as their primary means of mobility, the level of accessibility and EPW battery consumption are important during route planning. This paper introduces the concept of an accessible route navigation application to reduce EPW battery consumption. The application, called eNav, uses five layers of information including OpenStreetMaps (OSM), airborne laser scanner (ALS), Point-of-Interests (POIs), public transportation, and crowdsourcing. eNav collects these layers of information to provide the shortest, most accessible, and most comfortable routes that consume the least amount of EPW battery. Additionally, the paper presents the Mobility Enhancement roBot (MEBot), a legged-wheeled power wheelchair, to drive over architectural barriers and less accessible environments. The paper proposes the use of MEBot as a sixth layer of information to inform eNav and road authorities about sidewalk/route conditions, to improve road accessibility, and to provide an energy efficient route planning for non-MEBot users.

摘要

路线规划是到达目的地的重要工具。当前技术分别为公共交通以及道路和人行道上的行人提供了选择。然而,对于以电动轮椅(EPW)作为主要出行方式的人来说,可达性水平和EPW电池消耗在路线规划过程中很重要。本文介绍了一种可降低EPW电池消耗的无障碍路线导航应用程序的概念。该应用程序名为eNav,使用包括开放街道地图(OSM)、机载激光扫描仪(ALS)、兴趣点(POI)、公共交通和众包在内的五层信息。eNav收集这些信息层,以提供最短、最无障碍且最舒适的路线,同时消耗最少的EPW电池电量。此外,本文还介绍了移动增强机器人(MEBot),一种轮腿式电动轮椅,用于跨越建筑障碍和可达性较差的环境。本文建议将MEBot用作第六层信息,以便向eNav和道路管理部门通报人行道/路线状况,改善道路可达性,并为非MEBot用户提供节能的路线规划。

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本文引用的文献

1
A Heuristic Approach to Overcome Architectural Barriers Using a Robotic Wheelchair.使用轮椅机器人克服建筑障碍的启发式方法。
IEEE Trans Neural Syst Rehabil Eng. 2019 Sep;27(9):1846-1854. doi: 10.1109/TNSRE.2019.2934387. Epub 2019 Aug 9.
2
Mobility and Participation of People With Disabilities Using Mobility Assistive Technologies: Protocol for a Mixed-Methods Study.使用移动辅助技术的残疾人的移动性与参与度:一项混合方法研究的方案
JMIR Res Protoc. 2019 Apr 16;8(4):e12089. doi: 10.2196/12089.
3
Usability Evaluation of a Novel Robotic Power Wheelchair for Indoor and Outdoor Navigation.
新型机器人动力轮椅室内外导航可用性评估。
Arch Phys Med Rehabil. 2019 Apr;100(4):627-637. doi: 10.1016/j.apmr.2018.07.432. Epub 2018 Aug 25.
4
Kinematics and Stability Analysis of a Novel Power Wheelchair When Traversing Architectural Barriers.新型电动轮椅穿越建筑障碍物时的运动学与稳定性分析
Top Spinal Cord Inj Rehabil. 2017 Spring;23(2):110-119. doi: 10.1310/sci2302-110.
5
Data Logger Technologies for Powered Wheelchairs: A Scoping Review.动力轮椅的数据记录技术:范围综述。
Assist Technol. 2019;31(1):19-24. doi: 10.1080/10400435.2017.1340913. Epub 2017 Aug 8.
6
Data logger technologies for manual wheelchairs: A scoping review.手动轮椅的数据记录器技术:一项范围综述。
Assist Technol. 2018;30(2):51-58. doi: 10.1080/10400435.2016.1242516. Epub 2017 Jan 4.
7
Design and evaluation of a seat orientation controller during uneven terrain driving.不平地形行驶时座椅方向控制器的设计与评估
Med Eng Phys. 2016 Mar;38(3):241-7. doi: 10.1016/j.medengphy.2015.12.007. Epub 2016 Jan 13.
8
The potential impact of intelligent power wheelchair use on social participation: perspectives of users, caregivers and clinicians.智能电动轮椅的使用对社会参与的潜在影响:使用者、照料者及临床医生的观点
Disabil Rehabil Assist Technol. 2015 May;10(3):191-7. doi: 10.3109/17483107.2014.907366. Epub 2014 Apr 8.
9
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10
Demographics and trends in wheeled mobility equipment use and accessibility in the community.社区中轮式移动设备使用和无障碍性的人口统计学和趋势。
Assist Technol. 2010 Spring;22(1):3-17; quiz 19. doi: 10.1080/10400430903501413.