research-article

BikeMate: Bike Riding Behavior Monitoring with Smartphones

Authors:

Costas J. Spanos,

Lin ZhangAuthors Info & Claims

MobiQuitous 2017: Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Pages 313 - 322

https://doi.org/10.1145/3144457.3144462

Published: 07 November 2017 Publication History

Abstract

Detecting dangerous riding behaviors is of great importance to improve bicycling safety. Existing bike safety precautionary measures rely on dedicated infrastructures that incur high installation costs. In this work, we propose BikeMate, a ubiquitous bicycling behavior monitoring system with smartphones. BikeMate invokes smartphone sensors to infer dangerous riding behaviors including lane weaving, standing pedalling and wrong-way riding. For easy adoption, BikeMate leverages transfer learning to reduce the overhead of training models for different users, and applies crowdsourcing to infer legal riding directions without prior knowledge. Experiments with 12 participants show that BikeMate achieves an overall accuracy of 86.8% for lane weaving and standing pedalling detection, and yields a detection accuracy of 90% for wrong-way riding using crowdsourced GPS traces.

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Cited By

Mathuseck LGötz JBusch LDavid K(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
https://doi.org/10.1109/PerComWorkshops59983.2024.10503127
Smit GYeleshetty DHavinga PHuang Y(2024)Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTM2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10502681(587-592)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerComWorkshops59983.2024.10502681
Han ZDong XXu LZhu ZWang ENishiyama YSezaki K(2024)RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00100(1039-1049)Online publication date: 23-Jul-2024
https://doi.org/10.1109/ICDCS60910.2024.00100
Show More Cited By

Index Terms

BikeMate: Bike Riding Behavior Monitoring with Smartphones
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Personal digital assistants
      2. Smartphones

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cover image ACM Other conferences

MobiQuitous 2017: Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

November 2017

555 pages

ISBN:9781450353687

DOI:10.1145/3144457

General Chairs:
Tao Gu
RMIT University, Australia
,
Ramamohanarao Kotagiri
University of Melbourne, Australia
,
Publications Chair:
Huai Liu
Victoria University, Australia

Copyright © 2017 ACM.

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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EAI: The European Alliance for Innovation
SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

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Published: 07 November 2017

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MobiQuitous 2017

MobiQuitous 2017: Computing, Networking and Services

November 7 - 10, 2017

VIC, Melbourne, Australia

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Overall Acceptance Rate 26 of 87 submissions, 30%

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Cited By

Mathuseck LGötz JBusch LDavid K(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
https://doi.org/10.1109/PerComWorkshops59983.2024.10503127
Smit GYeleshetty DHavinga PHuang Y(2024)Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTM2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops59983.2024.10502681(587-592)Online publication date: 11-Mar-2024
https://doi.org/10.1109/PerComWorkshops59983.2024.10502681
Han ZDong XXu LZhu ZWang ENishiyama YSezaki K(2024)RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00100(1039-1049)Online publication date: 23-Jul-2024
https://doi.org/10.1109/ICDCS60910.2024.00100
KIM JSOMA TMANABE TKOJIMA A(2023)Image Segmentation-Based Bicycle Riding Side Identification MethodIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2022WBP0003E106.A:5(775-783)Online publication date: 1-May-2023
https://doi.org/10.1587/transfun.2022WBP0003
Deshmukh AWang ZGuo HAmmar DSherony RFeng FLin BBao SZhou F(2023)A Systematic Review of Challenging Scenarios Involving Automated Vehicles and Vulnerable Road UsersProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/2169506723119230067:1(678-685)Online publication date: 19-Oct-2023
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Han ZDong XNishiyama YSezaki K(2023)HeadSense: Visual Search Monitoring and Distracted Behavior Detection for Bicycle Riders2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM57956.2023.00043(281-289)Online publication date: Jun-2023
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Jiang SStrout ZHe BPeng DShull PLo B(2023)Dual Stream Meta Learning for Road Surface Classification and Riding Event Detection on Shared BikesIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2023.329542453:11(7188-7200)Online publication date: Nov-2023
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Han ZXu LDong XNishiyama YSezaki K(2023)HeadMon: Head Dynamics Enabled Riding Maneuver Prediction2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PERCOM56429.2023.10099215(22-31)Online publication date: 13-Mar-2023
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Raheel AArsalan ANoorani SKhan SEhatisham-Ul-Haq MAli Z(2023)Motorbike Driving Activity Recognition Using Smartphone Motion Sensors2023 25th International Multitopic Conference (INMIC)10.1109/INMIC60434.2023.10465839(1-6)Online publication date: 17-Nov-2023
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Han ZNishiyama YSezaki K(2022)A Micro-mobility Sensing System to Portray Riding StylesAdjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers10.1145/3544793.3560361(44-46)Online publication date: 11-Sep-2022
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