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Blind People’s Navigation Improvements Using Crowdsourcing

Authors:
Darius Plikynas
Audrius Indriulionis

Keywords: social networking; electronic travelling aids; computer vision; blind and severely visually impaired; navigation indoors

Abstract:
The literature review and survey of the Blind and Severely Visually Impaired (BSVI) people showed that BSVI are using the same general-purpose or specialized social networking means for communication, learning, remote working, leisure, navigation as other people. BSVI oriented text (and image) to voice, tactile feedback, and other specialized mobile apps or software and hardware solutions help in this matter. This paper studies how crowdsourcing (participatory social networking) can improve navigation and orientation capabilities outdoors and indoors, using the computer vision-based Electronic Traveling Aid (ETA) approach. This study gives insights into the high potential of crowdsourcing usage to improve BSVI people’s ETA performance. In this regard, this paper delivers a short overview, BSVI survey results, and a description of the prototype, which we are developing to meet BSVI expectations. Provided insights can help researchers and developers to exploit social Web and crowdsourcing opportunities for BSVI computer vision-based ETA navigation improvements.

Pages: 25 to 30

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-872-3

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021