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EYECane: navigating with camera embedded white cane for visually impaired person

Authors:

Jin Sun Ju,

Eunjeong Ko,

Eun Yi KimAuthors Info & Claims

Assets '09: Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility

Pages 237 - 238

https://doi.org/10.1145/1639642.1639693

Published: 25 October 2009 Publication History

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Abstract

We demonstrate a novel assistive device which can help the visually impaired or blind people to gain more safe mobility, which is called as "EYECane". The EYECane is the white-cane with embedding a camera and a computer. It automatically detects obstacles and recommends some avoidable paths to the user through acoustic interface. For this, it is performed by three steps: Firstly, it extracts obstacles from image streaming using online background estimation, thereafter generates the occupancy grid map, which is given to neural network. Finally, the system notifies a user of an paths recommended by machine learning. To assess the effectiveness of the proposed EYECane, it was tested with 5 users and the results show that it can support more safe navigation, and diminish the practice and efforts to be adept in using the white cane.

References

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Kee-yip Chan, Accessible spaces: Navigating through a marked environment with a camera phone. Assets 2007

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Mashahiro Bessho, 2008 Assisting Mobility of the Disabled using Space-Identifying Ubiquitous Infrastructure. Assets 2008

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Iwan Ulrich 2000 Appearance-based obstacle detection with monocular color vision. AAAI Conference on Artificial Intelligence (Austin, TX, july)

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Cited By

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Zhang HFalletta NXie JYu RLee SBillah SCarroll J(2025)Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation SystemThe 2025 ACM International Conference on Supporting Group Work10.1145/3688828.3699636(29-35)Online publication date: 12-Jan-2025
https://dl.acm.org/doi/10.1145/3688828.3699636
Mai CChen HZeng LLi ZLiu GQiao ZQu YLi LLi L(2024)A Smart Cane Based on 2D LiDAR and RGB-D Camera Sensor-Realizing Navigation and Obstacle RecognitionSensors10.3390/s2403087024:3(870)Online publication date: 29-Jan-2024
https://doi.org/10.3390/s24030870
Bhatlawande SBorse RSolanke AShilaskar S(2024)A Smart Clothing Approach for Augmenting Mobility of Visually Impaired PeopleIEEE Access10.1109/ACCESS.2024.336491512(24659-24671)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3364915
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Index Terms

EYECane: navigating with camera embedded white cane for visually impaired person
1. Applied computing
  1. Operations research
    1. Computer-aided manufacturing

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Information & Contributors

Information

Published In

Assets '09: Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility

October 2009

290 pages

ISBN:9781605585581

DOI:10.1145/1639642

General Chair:
Shari Trewin
IBM T. J. Watson Research Center, USA
,
Program Chair:
Kathleen F. McCoy
University of Delaware, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2009

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ASSETS09

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SIGACCESS

ASSETS09: The 11th International ACM SIGACCESS Conference on Computers and Accessibility

October 25 - 28, 2009

Pennsylvania, Pittsburgh, USA

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

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Zhang HFalletta NXie JYu RLee SBillah SCarroll J(2025)Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation SystemThe 2025 ACM International Conference on Supporting Group Work10.1145/3688828.3699636(29-35)Online publication date: 12-Jan-2025
https://dl.acm.org/doi/10.1145/3688828.3699636
Mai CChen HZeng LLi ZLiu GQiao ZQu YLi LLi L(2024)A Smart Cane Based on 2D LiDAR and RGB-D Camera Sensor-Realizing Navigation and Obstacle RecognitionSensors10.3390/s2403087024:3(870)Online publication date: 29-Jan-2024
https://doi.org/10.3390/s24030870
Bhatlawande SBorse RSolanke AShilaskar S(2024)A Smart Clothing Approach for Augmenting Mobility of Visually Impaired PeopleIEEE Access10.1109/ACCESS.2024.336491512(24659-24671)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3364915
Madake JBhatlawande SSolanke AShilaskar S(2023)A Qualitative and Quantitative Analysis of Research in Mobility Technologies for Visually Impaired PeopleIEEE Access10.1109/ACCESS.2023.329107411(82496-82520)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3291074
Nagraj AKuber RHamidi FSG Prasad R(2021)Investigating the Navigational Habits of People who are Blind in IndiaProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471203(1-10)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3471203
dos Santos AMedola FCinelli MGarcia Ramirez ASandnes F(2020)Are electronic white canes better than traditional canes? A comparative study with blind and blindfolded participantsUniversal Access in the Information Society10.1007/s10209-020-00712-zOnline publication date: 17-Feb-2020
https://doi.org/10.1007/s10209-020-00712-z
Patil SDennis DPabbaraju CShaheer NSimhadri HSeshadri VVarma MJain PGuimbretière FBernstein MReinecke K(2019)GesturePodProceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology10.1145/3332165.3347881(403-415)Online publication date: 17-Oct-2019
https://dl.acm.org/doi/10.1145/3332165.3347881
Suresh MPariti JOh TBigham JAzenkot SKane S(2019)Dynamic Sensor Orientation Unit for the Intelligent Mobility CaneProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3354627(548-550)Online publication date: 24-Oct-2019
https://dl.acm.org/doi/10.1145/3308561.3354627
Obermoser SKlammer DSigmund GSianov AKim Y(2018)A Pin Display Delivering Distance Information in Electronic Travel Aids2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)10.1109/BIOROB.2018.8487659(236-241)Online publication date: Aug-2018
https://doi.org/10.1109/BIOROB.2018.8487659
Ko EKim E(2017)A Vision-Based Wayfinding System for Visually Impaired People Using Situation Awareness and Activity-Based InstructionsSensors10.3390/s1708188217:8(1882)Online publication date: 16-Aug-2017
https://doi.org/10.3390/s17081882
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