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BikeSafe: bicycle behavior monitoring via smartphones

Published: 11 September 2017 Publication History

Abstract

Monitoring the bicycle safety is of great importance. The current methods either require specific hardware supports or are expensive to implement. In this paper, we propose BikeSafe, a smartphone-based system to track bicyclist movements and alarm their dangerous riding behaviors in real time. Preliminary experiments over 12 participants show that the overall detection accuracy of BikeSafe on riding behavior achieves 86.8%, and that of the illegal way riding reaches around 90%, satisfying the practical operation in daily usage.

References

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Weixi Gu. 2017. Non-intrusive blood glucose monitor by multi-task deep learning: PhD forum abstract. In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks. ACM, 249--250.
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Weixi Gu, Kai Zhang, Zimu Zhou, Ming Jin, Yuxun Zhou, Xi Liu, Costas J Spanos, Zuo-Jun Max Shen, Wei-Hua Lin, and Lin Zhang. 2017. Measuring fine-grained metro interchange time via smartphones. Transportation Research Part C: Emerging Technologies 81 (2017), 153--171.
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U.S. Dept. of Transportation National Highway Traffic Safety Association (NHTSA). 2014. Bicyclists and Other Cyclists. (2014).
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Stephen Smaldone, Chetan Tonde, Vancheswaran K Ananthanarayanan, Ahmed Elgammal, and Liviu Iftode. 2010. Improving Bicycle Safety through Automated Real-Time Vehicle Detection. Department of Computer Science Rutgers University 110 (2010).

Cited By

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  • (2024)Head 'n Shoulder: Gesture-Driven Biking Through Capacitive Sensing Garments to Innovate Hands-Free InteractionProceedings of the ACM on Human-Computer Interaction10.1145/36765108:MHCI(1-20)Online publication date: 24-Sep-2024
  • (2024)BikeSense: Riding Behaviour Recognition Using An Instrumented Bicycle2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503127(1-6)Online publication date: 11-Mar-2024
  • (2023)QuantiBike: Quantifying Perceived Cyclists' Safety via Head Movements in Virtual Reality and OutdoorsProceedings of the 2023 ACM Symposium on Spatial User Interaction10.1145/3607822.3614532(1-12)Online publication date: 13-Oct-2023
  • Show More Cited By

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    cover image ACM Conferences
    UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
    September 2017
    1089 pages
    ISBN:9781450351904
    DOI:10.1145/3123024
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 11 September 2017

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2024)Head 'n Shoulder: Gesture-Driven Biking Through Capacitive Sensing Garments to Innovate Hands-Free InteractionProceedings of the ACM on Human-Computer Interaction10.1145/36765108:MHCI(1-20)Online publication date: 24-Sep-2024
    • (2024)BikeSense: Riding Behaviour Recognition Using An Instrumented Bicycle2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10503127(1-6)Online publication date: 11-Mar-2024
    • (2023)QuantiBike: Quantifying Perceived Cyclists' Safety via Head Movements in Virtual Reality and OutdoorsProceedings of the 2023 ACM Symposium on Spatial User Interaction10.1145/3607822.3614532(1-12)Online publication date: 13-Oct-2023
    • (2023)Text Me if You Can: Investigating Text Input Methods for CyclistsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585734(1-7)Online publication date: 19-Apr-2023
    • (2021)Investigation of the speeding behavior of motorcyclists through an innovative smartphone applicationTraffic Injury Prevention10.1080/15389588.2021.1927002(1-7)Online publication date: 14-Jun-2021
    • (2021)Gray Failures Detection for Shared BicyclesWireless Algorithms, Systems, and Applications10.1007/978-3-030-85928-2_22(275-287)Online publication date: 2-Sep-2021
    • (2020)Brotate and Tribike: Designing Smartphone Control for Cycling22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3405660(1-12)Online publication date: 5-Oct-2020
    • (2020)Crowdsourced data for bicycling research and practiceTransport Reviews10.1080/01441647.2020.1806943(1-18)Online publication date: 15-Aug-2020
    • (2019)Identifying causal patterns from mobile sensing dataAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3343820(77-80)Online publication date: 9-Sep-2019
    • (2019)Autonomous Passive Localization Algorithm for Shared BikesIEEE Access10.1109/ACCESS.2019.29378017(119917-119930)Online publication date: 2019
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