Abstract

Color is inaccessible for individuals who are blind or visually impaired, as it is a purely visual feature. Given that many everyday tasks rely on color including coordinating clothing, social interactions, etc., the inaccessibility of color has an adverse effect on daily life. We propose an interactive, wearable assistive device that can recognize and convey colors of scenes or objects. As computer vision is challenging in real world environments due to, e.g., illumination or pose changes, computer vision algorithms can be augmented with sub-systems that can provide information on working environments of a recognition algorithm, and how it affects the recognition accuracy. In this paper, we introduce a framework that incorporates such measures, herein called confidence measures, in wearable assistive devices. By communicating to the user a quantitative measure that signifies the difference between optimal working conditions and the real environment working conditions, we can convey the reliability of system-made decisions, which enables the user to take action to improve confidence. Given that color recognition is challenging in real world settings, our system is built within our proposed framework for confidence measures. Finally, we present user recognition accuracies, both with and without confidence measures.

Original languageEnglish (US)
Title of host publicationUniversal Access in Human-Computer Interaction
Subtitle of host publicationCoping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.
PublisherSpringer Verlag
Pages751-760
Number of pages10
EditionPART 1
ISBN (Print)9783540732785
DOIs
StatePublished - 2007
Event4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 - Beijing, China
Duration: Jul 22 2007Jul 27 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4554 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
CountryChina
CityBeijing
Period7/22/077/27/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    McDaniel, T., Kahol, K., & Panchanathan, S. (2007). An interactive wearable assistive device for individuals who are blind for color perception. In Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc. (PART 1 ed., pp. 751-760). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4554 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-73279-2_83