How the CYBATHLON Competition Has Advanced Assistive Technologies

IF 11.2 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Review of Control Robotics and Autonomous Systems Pub Date : 2023-05-03 DOI:10.1146/annurev-control-071822-095355

L. Jaeger, R. Baptista, Chiara Basla, P. Capsi-Morales, Yong Kuk Kim, S. Nakajima, C. Piazza, Michael Sommerhalder, L. Tonin, G. Valle, R. Riener, R. Sigrist

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引用次数: 2

Abstract

Approximately 1.1. billion people worldwide live with some form of disability, and assistive technology has the potential to increase their overall quality of life. However, the end users’ perspective and needs are often not sufficiently considered during the development of this technology, leading to frustration and nonuse of existing devices. Since its first competition in 2016, CYBATHLON has aimed to drive innovation in the field of assistive technology by motivating teams to involve end users more actively in the development process and to tailor novel devices to their actual daily-life needs. Competition tasks therefore represent unsolved daily-life challenges for people with disabilities and serve the purpose of benchmarking the latest developments from research laboratories and companies from around the world. This review describes each of the competition disciplines, their contributions to assistive technology, and remaining challenges in the user-centered development of this technology.

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CYBATHLON比赛如何使用先进的辅助技术

大约1.1。全世界有十亿人患有某种形式的残疾，辅助技术有可能提高他们的整体生活质量。然而，在这项技术的开发过程中，最终用户的观点和需求往往没有得到充分的考虑，导致现有设备的挫折和不使用。自2016年首届比赛以来，CYBATHLON旨在推动辅助技术领域的创新，激励团队让最终用户更积极地参与开发过程，并根据他们的实际日常生活需求定制新颖的设备。因此，竞赛任务代表了残疾人日常生活中尚未解决的挑战，并为来自世界各地的研究实验室和公司的最新发展提供基准。这篇综述描述了每个竞赛学科，它们对辅助技术的贡献，以及在以用户为中心的辅助技术开发中仍然存在的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual Review of Control Robotics and Autonomous Systems Multiple-

CiteScore

28.30

自引率

2.20%

发文量

期刊介绍： The Annual Review of Control, Robotics, and Autonomous Systems offers comprehensive reviews on theoretical and applied developments influencing autonomous and semiautonomous systems engineering. Major areas covered include control, robotics, mechanics, optimization, communication, information theory, machine learning, computing, and signal processing. The journal extends its reach beyond engineering to intersect with fields like biology, neuroscience, and human behavioral sciences. The current volume has transitioned to open access through the Subscribe to Open program, with all articles published under a CC BY license.

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