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Interactive Urdu Braille Learning System for Parents of Visually Impaired Students

Authors:

Muhammad Zahid Iqbal,

Suleman Shahid,

Mustafa NaseemAuthors Info & Claims

ASSETS '17: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Pages 327 - 328

https://doi.org/10.1145/3132525.3134809

Published: 19 October 2017 Publication History

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Abstract

Braille literacy is one of the core pillars of education for visually impaired children. Previous studies have highlighted the importance of Braille for Visually impaired children by suggesting that students who read Braille outside of the classroom have higher reading speed and fluency. In resource constrained countries, such as Pakistan, the visually impaired students may acquire the knowledge of Urdu Braille at special education schools. However, there is a dearth of resources for the parents of such children, when it comes to learning Urdu Braille. Therefore, we designed a web-based Urdu Braille Translator and interactive Braille learning tool to enhance the Urdu Braille learning experience for parents of visually impaired. The usability study of this tool was conducted with 15 parents of the visually impaired students.

References

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Milne, Lauren R., et al. "BraillePlay: educational smartphone games for blind children." Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility. ACM, 2014.

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Nicolau, Hugo, et al. "HoliBraille: multipoint vibrotactile feedback on mobile devices." Proceedings of the 12th Web for All Conference. ACM, 2015.

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Cited By

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Tomar AJain PPanwar VGupta VShukla VVidisha (2024)A Unified Communication Model for Multiple Sensory Disabilities Using Convolutional Neural Networks2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET)10.1109/ACET61898.2024.10730536(1-5)Online publication date: 23-Aug-2024
https://doi.org/10.1109/ACET61898.2024.10730536
Ardiansah JOkazaki Y(2021)The Implementation of a Braille to Speech Prototype Application as a Self-study Tool for Visually Impaired People2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)10.1109/ICEEIE52663.2021.9616725(1-6)Online publication date: 2-Oct-2021
https://doi.org/10.1109/ICEEIE52663.2021.9616725
Shokat SRiaz RRizvi SAbbasi AAbbasi AKwon S(2020)Deep learning scheme for character prediction with position-free touch screen-based Braille input methodHuman-centric Computing and Information Sciences10.1186/s13673-020-00246-610:1Online publication date: 19-Sep-2020
https://doi.org/10.1186/s13673-020-00246-6

Index Terms

Interactive Urdu Braille Learning System for Parents of Visually Impaired Students
1. General and reference
  1. Cross-computing tools and techniques
    1. Evaluation
    2. Performance

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Published In

ASSETS '17: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

October 2017

450 pages

ISBN:9781450349260

DOI:10.1145/3132525

General Chair:
Amy Hurst
University of Maryland, Baltimore County, USA
,
Program Chairs:
Leah Findlater
University of Washington, USA
,
Meredith Ringel Morris
Microsoft Research, USA

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2017

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ASSETS '17

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SIGACCESS

ASSETS '17: The 19th International ACM SIGACCESS Conference on Computers and Accessibility

October 20 - November 1, 2017

Maryland, Baltimore, USA

Acceptance Rates

ASSETS '17 Paper Acceptance Rate 28 of 126 submissions, 22%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

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Tomar AJain PPanwar VGupta VShukla VVidisha (2024)A Unified Communication Model for Multiple Sensory Disabilities Using Convolutional Neural Networks2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET)10.1109/ACET61898.2024.10730536(1-5)Online publication date: 23-Aug-2024
https://doi.org/10.1109/ACET61898.2024.10730536
Ardiansah JOkazaki Y(2021)The Implementation of a Braille to Speech Prototype Application as a Self-study Tool for Visually Impaired People2021 7th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)10.1109/ICEEIE52663.2021.9616725(1-6)Online publication date: 2-Oct-2021
https://doi.org/10.1109/ICEEIE52663.2021.9616725
Shokat SRiaz RRizvi SAbbasi AAbbasi AKwon S(2020)Deep learning scheme for character prediction with position-free touch screen-based Braille input methodHuman-centric Computing and Information Sciences10.1186/s13673-020-00246-610:1Online publication date: 19-Sep-2020
https://doi.org/10.1186/s13673-020-00246-6

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