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• W3161183200 abstract "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." @default.
• W3161183200 created "2021-05-24" @default.
• W3161183200 creator A5047807251 @default.
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• W3161183200 date "2021-05-06" @default.
• W3161183200 modified "2023-10-16" @default.
• W3161183200 title "GuideCopter - A Precise Drone-Based Haptic Guidance Interface for Blind or Visually Impaired People" @default.
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• W3161183200 doi "https://doi.org/10.1145/3411764.3445676" @default.
• W3161183200 hasPublicationYear "2021" @default.
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