Audi-Exchange: AI-Guided Hand-based Actions to Assist Human-Human Interactions for the Blind and the Visually Impaired

Daohan Lu, Yi Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vision loss or low vision poses significant challenges to blind-or-visually-impaired (BVI) individuals when interacting with humans and objects. Although many apps and assistive devices can help them better interact with the environment and objects, the current state of assistive technology leaves human-human interaction needs of the BVI largely unaddressed. Because of this, we introduce a new wearable mobile assistive platform, named Audi-Exchange, to address part of the problem. Developed with mobile-optimized computer vision and audio engineering techniques, Audi-Exchange facilitates a specific area of human-human interaction by helping the BVI user accurately locate another person's hand with spatial audio in order to pass objects over to or receive objects from the other person. Audi-Exchange differs from existing academic and commercial assistive technologies in that it is intuitive to use and non-intrusive when worn. We conduct several experiments to investigate Audi-Exchange's effectiveness as an assistive human-human interaction tool and discover encouraging results.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1718-1726
Number of pages9
ISBN (Electronic)9781665401913
DOIs
StatePublished - 2021
Event18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 - Virtual, Online, Canada
Duration: Oct 11 2021Oct 17 2021

Publication series

NameProceedings of the IEEE International Conference on Computer Vision
Volume2021-October
ISSN (Print)1550-5499

Conference

Conference18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/11/2110/17/21

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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