Literature DB >> 25531011

Using Computer Vision to Access Appliance Displays.

Giovanni Fusco1, Ender Tekin2, Richard E Ladner, James M Coughlan.   

Abstract

People who are blind or visually impaired face difficulties accessing a growing array of everyday appliances, needed to perform a variety of daily activities, because they are equipped with electronic displays. We are developing a "Display Reader" smartphone app, which uses computer vision to help a user acquire a usable image of a display, to address this problem. The current prototype analyzes video from the smartphone's camera, providing real-time feedback to guide the user until a satisfactory image is acquired, based on automatic estimates of image blur and glare. Formative studies were conducted with several blind and visually impaired participants, whose feedback is guiding the development of the user interface. The prototype software has been released as a Free and Open Source (FOSS) project.

Entities:  

Keywords:  Access; blindness; low vision

Year:  2014        PMID: 25531011      PMCID: PMC4269285          DOI: 10.1145/2661334.2661404

Source DB:  PubMed          Journal:  ASSETS


  2 in total

1.  Clearspeech: a display reader for the visually handicapped.

Authors:  Tim Morris; Paul Blenkhorn; Luke Crossey; Quang Ngo; Martin Ross; David Werner; Christina Wong
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2006-12       Impact factor: 3.802

2.  Real-Time Detection and Reading of LED/LCD Displays for Visually Impaired Persons.

Authors:  Ender Tekin; James M Coughlan; Huiying Shen
Journal:  Proc IEEE Workshop Appl Comput Vis       Date:  2011-01-05
  2 in total
  1 in total

1.  Appliance Displays: Accessibility Challenges and Proposed Solutions.

Authors:  Giovanni Fusco; Ender Tekin; Nicholas A Giudice; James M Coughlan
Journal:  ASSETS       Date:  2015-10
  1 in total

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