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

Author:

Kuribayashi Masaki1,Kayukawa Seita2,Vongkulbhisal Jayakorn3,Asakawa Chieko4,Sato Daisuke5,Takagi Hironobu3,Morishima Shigeo6

Affiliation:

1. Waseda University, Tokyo, Japan

2. Waseda University & Miraikan -The National Museum of Emerging Science and Innovation, Tokyo, Japan

3. IBM Research - Tokyo, Tokyo, Japan

4. IBM Research, Yorktown Heights, NY, USA

5. Carnegie Mellon University, Pittsburgh, PA, USA

6. Waseda Research Institute for Science and Engineering, Tokyo, Japan

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.

Funder

JSPS KAKENHI

JST-Mirai Program

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

2. Review—Innovations in Flexible Sensory Devices for the Visually Impaired;ECS Journal of Solid State Science and Technology;2024-07-01

3. Real-Time View Assistance for the Blind using Image Processing;Journal of Innovative Image Processing;2024-06

4. MIM: Indoor and Outdoor Navigation in Complex Environments Using Multi-Layer Intensity Maps;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Arduino-Based Sensor System for Safe Mobility of People with Visual Impairments;2024 35th Conference of Open Innovations Association (FRUCT);2024-04-24

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