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demonstration

Interactive Web-based Image Sonification for the Blind

Published:09 November 2015Publication History

ABSTRACT

In this demonstration, we show a web-based sonification platform that allows blind users to interactively experience various information using two nowadays widespread technologies: modern web browsers that implement high-level JavaScript APIs and touch-sensitive displays. This way, blind users can easily access information such as, for example, maps or graphs. Our current prototype provides various sonifications that can be switched depending on the image type and user preference. The prototype runs in Chrome and Firefox on PCs, smart phones, and tablets.

References

  1. Mohayonao. Timbre.js. http://mohayonao.github.io/timbre.js/, 2015. Online; accessed 21 August 2015.Google ScholarGoogle Scholar
  2. S. S. Stevens, J. Volkmann, and E. B. Newman. A scale for the measurement of the psychological magnitude pitch. The Journal of the Acoustical Society of America, 8(3):185--190, 1937.Google ScholarGoogle ScholarCross RefCross Ref
  3. W3C. Web Audio API. http://www.w3.org/TR/webaudio/, 2015. Online; accessed 21 August 2015.Google ScholarGoogle Scholar

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  1. Interactive Web-based Image Sonification for the Blind

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    • Published in

      cover image ACM Conferences
      ICMI '15: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction
      November 2015
      678 pages
      ISBN:9781450339124
      DOI:10.1145/2818346

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 9 November 2015

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      Qualifiers

      • demonstration

      Acceptance Rates

      ICMI '15 Paper Acceptance Rate52of127submissions,41%Overall Acceptance Rate453of1,080submissions,42%

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