research-article

A Mobile Camera Based Navigation System for Visually Impaired People

Authors:

Sami ur Rahman,

Sehat UllahAuthors Info & Claims

ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking

Pages 63 - 66

https://doi.org/10.1145/3330180.3330193

Published: 12 April 2019 Publication History

Abstract

Visually impaired people face difficulty during mobility and they need some external mobility aid that helps them in detecting obstacles in their way. In this paper, we are presenting a mobile camera based solution for blind navigation. The algorithm is also capable of guiding the visually impaired for selecting an alternate path if it finds some obstacle on their way. The algorithm uses few pre-stored images of the floor for finding any obstacle. The algorithm compares the current floor images with the free stored images and based on some similarity metric, it decides if there exists any obstacle on the floor. If the algorithm finds any obstacle, then it guides the visually impaired to follow an alternate path for navigation. Accuracy of the algorithm is 90% in controlled environment.

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Cited By

Takahira RLiu CIshi COhkawa T(2024)Age and Spatial Cue Effects on User Performance for an Adaptable Verbal Wayfinding System2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731250(297-302)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731250
Yu HShe CHu YWang GWang RVucetic BLi Y(2024)Floor-Plan-Aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and PrototypeIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.341399442:9(2472-2486)Online publication date: Sep-2024
https://doi.org/10.1109/JSAC.2024.3413994
Mosaddegh ALopes SRostami HKeshavarz APaiva S(2022)A Hybrid Framework for Visual Positioning: Combining Convolutional Neural Networks with OntologiesEAI Endorsed Transactions on Energy Web10.4108/ew.v9i40.29599:40(e6)Online publication date: 29-Dec-2022
https://doi.org/10.4108/ew.v9i40.2959
Show More Cited By

Index Terms

A Mobile Camera Based Navigation System for Visually Impaired People
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Scene understanding

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cover image ACM Other conferences

ICCBN '19: Proceedings of the 7th International Conference on Communications and Broadband Networking

April 2019

76 pages

ISBN:9781450362474

DOI:10.1145/3330180

Copyright © 2019 ACM.

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]

In-Cooperation

UPM: Universiti Putra Malaysia
NITech: Nagoya Institute of Technology
Iv. Javakhishvili Tbilisi State University, Georgia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 April 2019

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ICCBN 2019

ICCBN 2019: 2019 7th International Conference on Communications and Broadband Networking

April 12 - 15, 2019

Nagoya, Japan

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Cited By

Takahira RLiu CIshi COhkawa T(2024)Age and Spatial Cue Effects on User Performance for an Adaptable Verbal Wayfinding System2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731250(297-302)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731250
Yu HShe CHu YWang GWang RVucetic BLi Y(2024)Floor-Plan-Aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and PrototypeIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.341399442:9(2472-2486)Online publication date: Sep-2024
https://doi.org/10.1109/JSAC.2024.3413994
Mosaddegh ALopes SRostami HKeshavarz APaiva S(2022)A Hybrid Framework for Visual Positioning: Combining Convolutional Neural Networks with OntologiesEAI Endorsed Transactions on Energy Web10.4108/ew.v9i40.29599:40(e6)Online publication date: 29-Dec-2022
https://doi.org/10.4108/ew.v9i40.2959
Valipoor Mde Antonio A(2022)Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mappingUniversal Access in the Information Society10.1007/s10209-022-00868-w22:3(983-1005)Online publication date: 6-Feb-2022
https://doi.org/10.1007/s10209-022-00868-w
Kunhoth JKarkar AAl-Maadeed SAl-Ali A(2020)Indoor positioning and wayfinding systems: a surveyHuman-centric Computing and Information Sciences10.1186/s13673-020-00222-010:1Online publication date: 2-May-2020
https://dl.acm.org/doi/10.1186/s13673-020-00222-0
Poikolainen Rosén ANormark MWiberg M(2020)Relating to the Environment Through PhotographyProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441026(506-519)Online publication date: 2-Dec-2020
https://dl.acm.org/doi/10.1145/3441000.3441026

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