BBEEP

A sonic collision avoidance system for blind travellers and nearby pedestrians

Seita Kayukawa, Keita Higuchi, João Guerreiro, Shigeo Morishima, Yoichi Sato, Kris Kitani, Chieko Asakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifcations to help clear a path by alerting both the user and nearby pedestrians about the potential risk of collision. BBeep triggers notifcations by tracking pedestrians, predicting their future position in real-time, and provides sound notifcations only when it anticipates a future collision. We investigate how diferent types and timings of sound afect nearby pedestrian behavior. In our experiments, we found that sound emission timing has a signifcant impact on nearby pedestrian trajectories when compared to diferent sound types. Based on these fndings, we performed a real-world user study at an international airport, where blind participants navigated with the suitcase in crowded areas. We observed that the proposed system signifcantly reduces the number of imminent collisions.

Original languageEnglish
Title of host publicationCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359702
DOIs
Publication statusPublished - 2019 May 2
Event2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom
Duration: 2019 May 42019 May 9

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
CountryUnited Kingdom
CityGlasgow
Period19/5/419/5/9

Fingerprint

Collision avoidance
Acoustic waves
Airports
Trajectories
Experiments

Keywords

  • Blind navigation
  • Collision prediction
  • Obstacle avoidance
  • Path clearing
  • Pedestrian detection
  • Visual impairments

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Kayukawa, S., Higuchi, K., Guerreiro, J., Morishima, S., Sato, Y., Kitani, K., & Asakawa, C. (2019). BBEEP: A sonic collision avoidance system for blind travellers and nearby pedestrians. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300282

BBEEP : A sonic collision avoidance system for blind travellers and nearby pedestrians. / Kayukawa, Seita; Higuchi, Keita; Guerreiro, João; Morishima, Shigeo; Sato, Yoichi; Kitani, Kris; Asakawa, Chieko.

CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kayukawa, S, Higuchi, K, Guerreiro, J, Morishima, S, Sato, Y, Kitani, K & Asakawa, C 2019, BBEEP: A sonic collision avoidance system for blind travellers and nearby pedestrians. in CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 19/5/4. https://doi.org/10.1145/3290605.3300282
Kayukawa S, Higuchi K, Guerreiro J, Morishima S, Sato Y, Kitani K et al. BBEEP: A sonic collision avoidance system for blind travellers and nearby pedestrians. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2019. (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3290605.3300282
Kayukawa, Seita ; Higuchi, Keita ; Guerreiro, João ; Morishima, Shigeo ; Sato, Yoichi ; Kitani, Kris ; Asakawa, Chieko. / BBEEP : A sonic collision avoidance system for blind travellers and nearby pedestrians. CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. (Conference on Human Factors in Computing Systems - Proceedings).
@inproceedings{5f0a0f6ad67148158cecab6bdff822cc,
title = "BBEEP: A sonic collision avoidance system for blind travellers and nearby pedestrians",
abstract = "We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifcations to help clear a path by alerting both the user and nearby pedestrians about the potential risk of collision. BBeep triggers notifcations by tracking pedestrians, predicting their future position in real-time, and provides sound notifcations only when it anticipates a future collision. We investigate how diferent types and timings of sound afect nearby pedestrian behavior. In our experiments, we found that sound emission timing has a signifcant impact on nearby pedestrian trajectories when compared to diferent sound types. Based on these fndings, we performed a real-world user study at an international airport, where blind participants navigated with the suitcase in crowded areas. We observed that the proposed system signifcantly reduces the number of imminent collisions.",
keywords = "Blind navigation, Collision prediction, Obstacle avoidance, Path clearing, Pedestrian detection, Visual impairments",
author = "Seita Kayukawa and Keita Higuchi and Jo{\~a}o Guerreiro and Shigeo Morishima and Yoichi Sato and Kris Kitani and Chieko Asakawa",
year = "2019",
month = "5",
day = "2",
doi = "10.1145/3290605.3300282",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems",

}

TY - GEN

T1 - BBEEP

T2 - A sonic collision avoidance system for blind travellers and nearby pedestrians

AU - Kayukawa, Seita

AU - Higuchi, Keita

AU - Guerreiro, João

AU - Morishima, Shigeo

AU - Sato, Yoichi

AU - Kitani, Kris

AU - Asakawa, Chieko

PY - 2019/5/2

Y1 - 2019/5/2

N2 - We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifcations to help clear a path by alerting both the user and nearby pedestrians about the potential risk of collision. BBeep triggers notifcations by tracking pedestrians, predicting their future position in real-time, and provides sound notifcations only when it anticipates a future collision. We investigate how diferent types and timings of sound afect nearby pedestrian behavior. In our experiments, we found that sound emission timing has a signifcant impact on nearby pedestrian trajectories when compared to diferent sound types. Based on these fndings, we performed a real-world user study at an international airport, where blind participants navigated with the suitcase in crowded areas. We observed that the proposed system signifcantly reduces the number of imminent collisions.

AB - We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifcations to help clear a path by alerting both the user and nearby pedestrians about the potential risk of collision. BBeep triggers notifcations by tracking pedestrians, predicting their future position in real-time, and provides sound notifcations only when it anticipates a future collision. We investigate how diferent types and timings of sound afect nearby pedestrian behavior. In our experiments, we found that sound emission timing has a signifcant impact on nearby pedestrian trajectories when compared to diferent sound types. Based on these fndings, we performed a real-world user study at an international airport, where blind participants navigated with the suitcase in crowded areas. We observed that the proposed system signifcantly reduces the number of imminent collisions.

KW - Blind navigation

KW - Collision prediction

KW - Obstacle avoidance

KW - Path clearing

KW - Pedestrian detection

KW - Visual impairments

UR - http://www.scopus.com/inward/record.url?scp=85067623950&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067623950&partnerID=8YFLogxK

U2 - 10.1145/3290605.3300282

DO - 10.1145/3290605.3300282

M3 - Conference contribution

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

ER -