Supporting everyday activities for persons with visual impairments through computer vision-augmented touch

Leah Findlater, Lee Stearns, Ruofei Du, Uran Oh, David Ross, Rama Chellappa, Jon E. Froehlich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The HandSight project investigates how wearable micro-cameras can be used to augment a blind or visually impaired user's sense of touch with computer vision. Our goal is to support an array of activities of daily living by sensing and feeding back non-tactile information (e.g., color, printed text, patterns) about an object as it is touched. In this poster paper, we provide an overview of the project, our current proof-of-concept prototype, and a summary of findings from finger-based text reading studies. As this is an early-stage project, we also enumerate current open questions.

Original languageEnglish
Title of host publicationASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility
PublisherAssociation for Computing Machinery, Inc
Pages383-384
Number of pages2
ISBN (Electronic)9781450334006
DOIs
StatePublished - 26 Oct 2015
Event17th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2015 - Lisbon, Portugal
Duration: 26 Oct 201528 Oct 2015

Publication series

NameASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility

Conference

Conference17th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2015
Country/TerritoryPortugal
CityLisbon
Period26/10/1528/10/15

Bibliographical note

Publisher Copyright:
© 2015 ACM.

Keywords

  • Blind
  • Computer vision
  • Vision-augmented touch
  • Visually impaired
  • Wearable computing

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