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Computer Vision based Assistive Technology for Blind and Visually Impaired People

Published: 06 July 2016 Publication History

Abstract

The computer vision based assistive technology for the blind and visually impaired is a developing area. The assistive technology helps the visually impaired by providing them with a greater independence. By enabling them with their day-to-day activities like indoor and outdoor navigation, obstacle detection, locating the doors and lost objects, etc. Even though different assistive technologies are available for the blind, most of them have complex designs which are developed for a specific purpose and are expensive for the commercial production. Rather than depending on a traditional white cane, the blind and visually impaired people can make use of the cheaper assistive device proposed in this paper. The proposed system incorporates several assistance features in a device which will be an asset for them according to their needs.

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Cited By

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  • (2024)Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital SettingsJournal of Imaging10.3390/jimaging1004008110:4(81)Online publication date: 28-Mar-2024
  • (2024)Co-designing a 3D-Printed Tactile Campus Map With Blind and Low-Vision University StudentsProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688537(1-6)Online publication date: 27-Oct-2024
  • (2024)OdinEye: An AI Based Visual Assistive Device for the Blind and Partially Sighted2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)10.1109/ICUIS64676.2024.10866520(158-163)Online publication date: 12-Dec-2024
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Published In

cover image ACM Other conferences
ICCCNT '16: Proceedings of the 7th International Conference on Computing Communication and Networking Technologies
July 2016
262 pages
ISBN:9781450341790
DOI:10.1145/2967878
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • University of North Texas: University of North Texas

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Association for Computing Machinery

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Publication History

Published: 06 July 2016

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Author Tags

  1. Assistive technology
  2. Computer vision
  3. Image processing
  4. electronic travel aids
  5. wearable systems

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  • Research-article
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ICCCNT '16

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ICCCNT '16 Paper Acceptance Rate 48 of 101 submissions, 48%;
Overall Acceptance Rate 48 of 101 submissions, 48%

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Cited By

View all
  • (2024)Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital SettingsJournal of Imaging10.3390/jimaging1004008110:4(81)Online publication date: 28-Mar-2024
  • (2024)Co-designing a 3D-Printed Tactile Campus Map With Blind and Low-Vision University StudentsProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3688537(1-6)Online publication date: 27-Oct-2024
  • (2024)OdinEye: An AI Based Visual Assistive Device for the Blind and Partially Sighted2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)10.1109/ICUIS64676.2024.10866520(158-163)Online publication date: 12-Dec-2024
  • (2024)SLAM for Visually Impaired People: A SurveyIEEE Access10.1109/ACCESS.2024.345457112(130165-130211)Online publication date: 2024
  • (2024)A Smart Clothing Approach for Augmenting Mobility of Visually Impaired PeopleIEEE Access10.1109/ACCESS.2024.336491512(24659-24671)Online publication date: 2024
  • (2024)A Comprehensive Review of Navigation Systems for Visually Impaired IndividualsHeliyon10.1016/j.heliyon.2024.e31825(e31825)Online publication date: May-2024
  • (2024)Intelligent environments and assistive technologies for assisting visually impaired people: a systematic literature reviewUniversal Access in the Information Society10.1007/s10209-024-01117-yOnline publication date: 3-May-2024
  • (2024)Detection of People and Objects for the Visually Impaired by Using YOLOv7 AlgorithmProceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication10.1007/978-981-97-5227-0_24(259-270)Online publication date: 23-Dec-2024
  • (2024)Ultrawideband On-Body Area Network for Navigational SupportBody Area Networks. Smart IoT and Big Data for Intelligent Health Management10.1007/978-3-031-72524-1_18(246-260)Online publication date: 27-Dec-2024
  • (2023)Ageing and Keeping Pace with Technology: A Grounded Theory Study on Blind Adults’ Experiences of Adapting to New TechnologiesInternational Journal of Environmental Research and Public Health10.3390/ijerph2003187620:3(1876)Online publication date: 19-Jan-2023
  • Show More Cited By

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