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Reseach Article

Assistive Technologies for Visually Impaired Users on Android Mobile Phones

by Aishwarya A. Sagale, Anagha Chaudhari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 32
Year of Publication: 2018
Authors: Aishwarya A. Sagale, Anagha Chaudhari
10.5120/ijca2018918238

Aishwarya A. Sagale, Anagha Chaudhari . Assistive Technologies for Visually Impaired Users on Android Mobile Phones. International Journal of Computer Applications. 182, 32 ( Dec 2018), 23-26. DOI=10.5120/ijca2018918238

@article{ 10.5120/ijca2018918238,
author = { Aishwarya A. Sagale, Anagha Chaudhari },
title = { Assistive Technologies for Visually Impaired Users on Android Mobile Phones },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2018 },
volume = { 182 },
number = { 32 },
month = { Dec },
year = { 2018 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number32/30235-2018918238/ },
doi = { 10.5120/ijca2018918238 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:06.179632+05:30
%A Aishwarya A. Sagale
%A Anagha Chaudhari
%T Assistive Technologies for Visually Impaired Users on Android Mobile Phones
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 32
%P 23-26
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increasing number of mobile phone users, mobile phones have become important means of communication and information sharing. Mobile phone users consist of sighted users and visually impaired users. Touchscreen mobile phones are inaccessible for visually impaired users due to the absence of any physical keys and insufficient accessibility features. An effective assistive technique for interacting with mobile phones may solve inaccessibility problem. This study describes various assistive applications currently available for different functionalities in mobile phones. These assistive applications provided accessibility for detecting surrounding and helping with direction. The study helps in understanding various techniques used. These techniques include Speech to Text converter, Text to Speech converter and various image recognition algorithms. The study and comparison of all these currently available applications and techniques is very important for proposing new application.

References
  1. Awad M., Haddad J., Khneisser E., Mahmoud T., Yaacoub E. and Malli M., “Intelligent Eye: A Mobile Application for Assisting Blind People”. 2018 IEEE Middle East and North Africa Communications Conference. ISBN: 978-1-5386-1254-5/18.
  2. Bagwan S. and Sankpal L., “VisualPal: A Mobile App for Object Recognition for the Visually Impaired”. IEEE International Conference on Computer, Communication and Control (IC4-2015).
  3. Jogekar R., Dhoble A., Kakde S., Taklikar P. and Larokar D., “Automatic Number Plate Recognition System Through Smart Phone Using Image Processing”, International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 03, Mar -2017. e-ISSN: 2395 -0056.
  4. Raval V. and Shah A., “iCu₹e – An IoT Application for Indian Currency Recognition in Vernacular Languages for Visually Challenged People”, 2017 7th International Conference on Cloud Computing, Data Science & Engineering – Confluence. IEEE ISBN: 978-1-5090-3519-9/17.
  5. Resnikoff S., Pascolini D., Etyáale D., Kocur I., Pararajasegaram R., Pokharel G. and Mariotti S., “Global Data on Visual Impairment in the Year 2002”. Bulletin of the World Health Organization, Nov. 2004, 82(11).
  6. Swathika R. and Sharmila T., “Emergency exit sign detection system for visually impaired people”, 2016 International Conference on Inventive Computation Technologies. IEEE, Online ISBN 978-1-5090-1285-5.
  7. Torcolini C.: “Improving Accessibility for the Blind on the Android Platform”. Thesis report, (2010).
  8. http://apps.who.int/iris/bitstream/handle/10665/43737/9789241547321_eng.pdf - International Classification of Functioning, Disability and Health (2007) by World Health Organization. Accessed on 27th April 2018.
  9. http://censusindia.gov.in/2011-prov-results/prov_rep_tables.html - Census data India, 2011. Accesses on 27th April 2018.
  10. http://trai.gov.in/sites/default/files/PRTSDEng24042018.pdf - TRAI Mobile Subscription Data (February 2018). Accessed on 27th April 2018.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Phone Visually Impaired Touchscreen Mobile Phone Assistive Technology.