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Chinese FingerReader: a wearable device to explore Chinese printed text

Published: 30 July 2017 Publication History

Abstract

Reading is an essential part of daily life. When reading books, drug information, textual icons on electronic devices (e.g., microwave), and information on signs and maps (e.g., location and floor level), people must be able to recognize the words to obtain the information they need. However, for foreigners or people with visual impairment, reading text can be challenging. To assist people with visual impairment in reading English books, Shilkrot et al. have designed a wearable device called the FingerReader [Shilkrot et al. 2014]. The FingerReader utilizes a text-to-speech engine to enable visually impaired users to listen to printed text. Anhong et al. developed a mobile application to assist blind people in using otherwise inaccessible interfaces [Guo et al. 2016]. Through utilizing the phone camera, the software captures the text on an interface and then interactively describes the text beneath the user's finger.

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References

[1]
Anhong Guo, Xiang 'Anthony' Chen, Haoran Qi, Samuel White, Suman Ghosh, Chieko Asakawa, and Jeffrey P. Bigham. 2016. VizLens: A Robust and Interactive Screen Reader for Interfaces in the Real World. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). ACM, New York, NY, USA, 651--664.
[2]
Roy Shilkrot, Jochen Huber, Connie Liu, Pattie Maes, and Suranga Chandima Nanayakkara. 2014. FingerReader: A Wearable Device to Support Text Reading on the Go. In CHI '14 Extended Abstracts on Human Factors in Computing Systems (CHI EA '14). ACM, New York, NY, USA, 2359--2364.

Cited By

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  • (2019)A SMART IMAGE PROCESSING ALGORITHM FOR TEXT RECOGNITION, INFORMATION EXTRACTION AND VOCALIZATION FOR THE VISUALLY CHALLENGEDJournal of Innovative Image Processing10.36548/jiip.2019.1.0041:01(31-38)Online publication date: 21-Oct-2019
  • (2019)A Finger-Worn Device for Exploring Chinese Printed Text With Using CNN Algorithm on a Micro IoT ProcessorIEEE Access10.1109/ACCESS.2019.29361437(116529-116541)Online publication date: 2019

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    Published In

    cover image ACM Conferences
    SIGGRAPH '17: ACM SIGGRAPH 2017 Posters
    July 2017
    173 pages
    ISBN:9781450350150
    DOI:10.1145/3102163
    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: 30 July 2017

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    Author Tags

    1. Chinese FingerReader
    2. reading
    3. visual impairment

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    • Poster

    Funding Sources

    • Ministry of Science and Technology, Taiwan, R.O.C.

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    SIGGRAPH '17
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    Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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    View all
    • (2019)A SMART IMAGE PROCESSING ALGORITHM FOR TEXT RECOGNITION, INFORMATION EXTRACTION AND VOCALIZATION FOR THE VISUALLY CHALLENGEDJournal of Innovative Image Processing10.36548/jiip.2019.1.0041:01(31-38)Online publication date: 21-Oct-2019
    • (2019)A Finger-Worn Device for Exploring Chinese Printed Text With Using CNN Algorithm on a Micro IoT ProcessorIEEE Access10.1109/ACCESS.2019.29361437(116529-116541)Online publication date: 2019

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