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

Daohan Lu, Yi Fang; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 1718-1726

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.

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[bibtex]
@InProceedings{Lu_2021_ICCV, author = {Lu, Daohan and Fang, Yi}, title = {Audi-Exchange: AI-Guided Hand-Based Actions To Assist Human-Human Interactions for the Blind and the Visually Impaired}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {1718-1726} }