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Corridor-Walker: Mobile Indoor Walking Assistance for Blind People to Avoid Obstacles and Recognize Intersections

Authors:

Masaki Kuribayashi,

Seita Kayukawa,

Jayakorn Vongkulbhisal,

Chieko Asakawa,

Hironobu Takagi,

Shigeo MorishimaAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue MHCI

Article No.: 179, Pages 1 - 22

https://doi.org/10.1145/3546714

Published: 20 September 2022 Publication History

Abstract

Navigating in an indoor corridor can be challenging for blind people as they have to be aware of obstacles while also having to recognize the intersections that lead to the destination. To aid blind people in such tasks, we propose Corridor-Walker, a smartphone-based system that assists blind people to avoid obstacles and recognize intersections. The system uses a LiDAR sensor equipped with a smartphone to construct a 2D occupancy grid map of the surrounding environment. Then, the system generates an obstacle-avoiding path and detects upcoming intersections on the grid map. Finally, the system navigates the user to trace the generated path and notifies the user of each intersection's existence and the shape using vibration and audio feedback. A user study with 14 blind participants revealed that Corridor-Walker allowed participants to avoid obstacles, rely less on the wall to walk straight, and enable them to recognize intersections.

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Cited By

M AAdarsh K Rajeev V AK AM M(2024)Real-Time View Assistance for the Blind using Image ProcessingJournal of Innovative Image Processing10.36548/jiip.2024.2.0026:2(96-109)Online publication date: Jun-2024
https://doi.org/10.36548/jiip.2024.2.002
Hummadi ASalman HAhmed ADiachenko O(2024)Arduino-Based Sensor System for Safe Mobility of People with Visual Impairments2024 35th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT61870.2024.10516356(267-274)Online publication date: 24-Apr-2024
https://doi.org/10.23919/FRUCT61870.2024.10516356
Panwar MDhankhar ARajoria HSoreng JBatsyas RKharangarh P(2024)Review—Innovations in Flexible Sensory Devices for the Visually ImpairedECS Journal of Solid State Science and Technology10.1149/2162-8777/ad658813:7(077011)Online publication date: 30-Jul-2024
https://doi.org/10.1149/2162-8777/ad6588
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Index Terms

Corridor-Walker: Mobile Indoor Walking Assistance for Blind People to Avoid Obstacles and Recognize Intersections
1. Human-centered computing
  1. Accessibility
    1. Accessibility technologies
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools
2. Social and professional topics
  1. User characteristics
    1. People with disabilities

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue MHCI

MHCI

September 2022

852 pages

EISSN:2573-0142

DOI:10.1145/3564624

Editor:
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Apple Inc., United States

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M AAdarsh K Rajeev V AK AM M(2024)Real-Time View Assistance for the Blind using Image ProcessingJournal of Innovative Image Processing10.36548/jiip.2024.2.0026:2(96-109)Online publication date: Jun-2024
https://doi.org/10.36548/jiip.2024.2.002
Hummadi ASalman HAhmed ADiachenko O(2024)Arduino-Based Sensor System for Safe Mobility of People with Visual Impairments2024 35th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT61870.2024.10516356(267-274)Online publication date: 24-Apr-2024
https://doi.org/10.23919/FRUCT61870.2024.10516356
Panwar MDhankhar ARajoria HSoreng JBatsyas RKharangarh P(2024)Review—Innovations in Flexible Sensory Devices for the Visually ImpairedECS Journal of Solid State Science and Technology10.1149/2162-8777/ad658813:7(077011)Online publication date: 30-Jul-2024
https://doi.org/10.1149/2162-8777/ad6588
Jing XYu CYue KLu LGao NShi WZhang MWang RShi Y(2024)AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone AssistantProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785258:3(1-31)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678525
Kamikubo RKacorri HAsakawa C(2024)"We are at the mercy of others' opinion": Supporting Blind People in Recreational Window Shopping with AI-infused TechnologyProceedings of the 21st International Web for All Conference10.1145/3677846.3677860(45-58)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3677846.3677860
Kubota MKuribayashi MKayukawa STakagi HAsakawa CMorishima S(2024)Snap&Nav: Smartphone-based Indoor Navigation System For Blind People via Floor Map Analysis and Intersection DetectionProceedings of the ACM on Human-Computer Interaction10.1145/36765228:MHCI(1-22)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676522
Chang RLiu YGuo A(2024)WorldScribe: Towards Context-Aware Live Visual DescriptionsProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676375(1-18)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676375
Sun YXiao CChen LChen LLu HWang YZheng YZhang ZXiong R(2024)A Review of Intelligent Walking Support Robots: Aiding Sit-to-Stand Transition and WalkingIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2024.337945332(1355-1369)Online publication date: 2024
https://doi.org/10.1109/TNSRE.2024.3379453
Sathyamoorthy AWeerakoon KElnoor MRussell MPusey JManocha D(2024)MIM: Indoor and Outdoor Navigation in Complex Environments Using Multi-Layer Intensity Maps2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610673(10917-10924)Online publication date: 13-May-2024
https://doi.org/10.1109/ICRA57147.2024.10610673
Isaksson-Daun JJansson TNilsson J(2024)Using Portable Virtual Reality to Assess Mobility of Blind and Low-Vision Individuals With the Audomni Sensory Supplementation FeedbackIEEE Access10.1109/ACCESS.2024.336680812(26222-26241)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3366808
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