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LineChaser: A Smartphone-Based Navigation System for Blind People to Stand in Lines

Authors:

Masaki Kuribayashi,

Seita Kayukawa,

Hironobu Takagi,

Chieko Asakawa,

Shigeo MorishimaAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 33, Pages 1 - 13

https://doi.org/10.1145/3411764.3445451

Published: 07 May 2021 Publication History

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Abstract

Standing in line is one of the most common social behaviors in public spaces but can be challenging for blind people. We propose an assistive system named LineChaser, which navigates a blind user to the end of a line and continuously reports the distance and direction to the last person in the line so that they can be followed. LineChaser uses the RGB camera in a smartphone to detect nearby pedestrians, and the built-in infrared depth sensor to estimate their position. Via pedestrian position estimations, LineChaser determines whether nearby pedestrians are standing in line, and uses audio and vibration signals to notify the user when they should start/stop moving forward. In this way, users can stay correctly positioned while maintaining social distance. We have conducted a usability study with 12 blind participants. LineChaser allowed blind participants to successfully navigate lines, significantly increasing their confidence in standing in lines.

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Cited By

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
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
Kaniwa YKuribayashi MKayukawa SSato DTakagi HAsakawa CMorishima S(2024)ChitChatGuide: Conversational Interaction Using Large Language Models for Assisting People with Visual Impairments to Explore a Shopping MallProceedings of the ACM on Human-Computer Interaction10.1145/36764928:MHCI(1-25)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676492
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Index Terms

LineChaser: A Smartphone-Based Navigation System for Blind People to Stand in Lines
1. Social and professional topics
  1. Professional topics
    1. Computing profession

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Program Chairs:
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

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Published: 07 May 2021

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https://dl.acm.org/doi/10.1145/3678525
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
Kaniwa YKuribayashi MKayukawa SSato DTakagi HAsakawa CMorishima S(2024)ChitChatGuide: Conversational Interaction Using Large Language Models for Assisting People with Visual Impairments to Explore a Shopping MallProceedings of the ACM on Human-Computer Interaction10.1145/36764928:MHCI(1-25)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676492
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