GuideCopter -一个精确的基于无人机的盲人或视障人士触觉引导界面

Felix Huppert, Gerold Hoelzl, M. Kranz
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引用次数: 16

摘要

无人机辅助导航辅助视障行走活动的相关工作已经建立,但未知环境下的精细点物体抓取任务和物体定位仍然是一个开放而复杂的挑战。我们提出了一个基于无人机的界面,提供细粒度的触觉反馈,从而在未知环境中物理引导他们进行手-物体定位任务。我们的研究是围绕盲人或视障人士(BVI)社区群体进行的,他们在开发过程中提供了深入的见解,并在之后作为研究参与者。一项初步研究推断了用户对应用的引导刺激力和不同的人-无人机系绳接口可能性的敏感性。在一项比较后续研究中,我们表明,与目前基于音频的手动导航系统相比,我们基于无人机的方法实现了更高的精度,并且总体上提供了更直观和相关的精细点导航体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GuideCopter - A Precise Drone-Based Haptic Guidance Interface for Blind or Visually Impaired People
Drone assisted navigation aids for supporting walking activities of visually impaired have been established in related work but fine-point object grasping tasks and the object localization in unknown environments still presents an open and complex challenge. We present a drone-based interface that provides fine-grain haptic feedback and thus physically guides them in hand-object localization tasks in unknown surroundings. Our research is built around community groups of blind or visually impaired (BVI) people, which provide in-depth insights during the development process and serve later as study participants. A pilot study infers users’ sensibility to applied guiding stimuli forces and the different human-drone tether interfacing possibilities. In a comparative follow-up study, we show that our drone-based approach achieves greater accuracy compared to a current audio-based hand guiding system and delivers overall a more intuitive and relatable fine-point guiding experience.
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