research-article

Toward Detection of Unsafe Driving with Wearables

Authors:

Cagdas Karatas,

Marco Gruteser,

Richard P. MartinAuthors Info & Claims

WearSys '15: Proceedings of the 2015 workshop on Wearable Systems and Applications

Pages 27 - 32

https://doi.org/10.1145/2753509.2753518

Published: 18 May 2015 Publication History

Abstract

This paper explores the potential for wearable devices to identify driving activities and unsafe driving, without relying on information or sensors in the vehicle. In particular, we study how wrist-mounted inertial sensors such as those in smart watches and fitness trackers, can track steering wheel usage and inputs. Identifying steering wheel usage helps mobile device detect driving and reduce distractions. Tracking steering wheel turning angles can improve vehicle motion tracking by mobile devices and help identify unsafe driving. The approach relies on motion features that allow distinguishing steering from other confounding hand movements. Once steering wheel usage is detected, it also use wrist rotation measurements to infer steering wheel turning angles. Our preliminary experiments show that the technique is 98.9% accurate in detecting driving and can estimate turning angles with average error within two degrees.

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Cited By

Piaseczna NDoniec RSieciński SBarańska KJędrychowski MGrzegorzek M(2024)Driving Reality vs. Simulator: Data DistinctionsElectronics10.3390/electronics1314270813:14(2708)Online publication date: 10-Jul-2024
https://doi.org/10.3390/electronics13142708
Mardi Putri RChang CPutra APamungkas SLiang D(2024)SmartDetect: Safe Driving by Detecting Steering-Wheel Handling With a Single SmartwatchIEEE Sensors Journal10.1109/JSEN.2024.337948624:10(16325-16335)Online publication date: 15-May-2024
https://doi.org/10.1109/JSEN.2024.3379486
Chen CShin K(2023)In-Vehicle Phone Localization for Prevention of Distracted DrivingIEEE Transactions on Mobile Computing10.1109/TMC.2022.314101922:6(3365-3379)Online publication date: 1-Jun-2023
https://doi.org/10.1109/TMC.2022.3141019
Show More Cited By

Index Terms

Toward Detection of Unsafe Driving with Wearables
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Human-centered computing

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Information

Published In

cover image ACM Conferences

WearSys '15: Proceedings of the 2015 workshop on Wearable Systems and Applications

May 2015

68 pages

ISBN:9781450335003

DOI:10.1145/2753509

Program Chairs:
Ashwin Ashok
Carnegie Mellon University, USA
,
Jie Liu
Microsoft Research, USA
,
Suman Banerjee
University of Wisconsin-Madison, USA

Copyright © 2015 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]

Sponsors

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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Research-article

Funding Sources

National Science Foundation

Conference

MobiSys'15

Sponsor:

SIGMOBILE

MobiSys'15: The 13th Annual International Conference on Mobile Systems, Applications, and Services

May 18, 2015

Florence, Italy

Acceptance Rates

WearSys '15 Paper Acceptance Rate 14 of 18 submissions, 78%;

Overall Acceptance Rate 28 of 36 submissions, 78%

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Citations

Cited By

Piaseczna NDoniec RSieciński SBarańska KJędrychowski MGrzegorzek M(2024)Driving Reality vs. Simulator: Data DistinctionsElectronics10.3390/electronics1314270813:14(2708)Online publication date: 10-Jul-2024
https://doi.org/10.3390/electronics13142708
Mardi Putri RChang CPutra APamungkas SLiang D(2024)SmartDetect: Safe Driving by Detecting Steering-Wheel Handling With a Single SmartwatchIEEE Sensors Journal10.1109/JSEN.2024.337948624:10(16325-16335)Online publication date: 15-May-2024
https://doi.org/10.1109/JSEN.2024.3379486
Chen CShin K(2023)In-Vehicle Phone Localization for Prevention of Distracted DrivingIEEE Transactions on Mobile Computing10.1109/TMC.2022.314101922:6(3365-3379)Online publication date: 1-Jun-2023
https://doi.org/10.1109/TMC.2022.3141019
Toma CPopa MIancu BDoinea MPascu AIoan-Dutescu F(2022)Edge Machine Learning for the Automated Decision and Visual Computing of the Robots, IoT Embedded Devices or UAV-DronesElectronics10.3390/electronics1121350711:21(3507)Online publication date: 28-Oct-2022
https://doi.org/10.3390/electronics11213507
Mewborne TLee YTan SYang J(2022)Distracted Driving Detection Utilizing Wearable-based Bluetooth2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS56207.2022.00074(485-490)Online publication date: Oct-2022
https://doi.org/10.1109/MASS56207.2022.00074
Chandel RSharma SKaur SSingh SKumar R(2022)Smart watches: A review of evolution in bio-medical sectorMaterials Today: Proceedings10.1016/j.matpr.2021.07.46050(1053-1066)Online publication date: 2022
https://doi.org/10.1016/j.matpr.2021.07.460
Gupta SKaplan SNygaard AGhanavati S(2022)A Two-Fold Study to Investigate Users’ Perception of IoT Information Sensitivity Levels and Their Willingness to Share the InformationEmerging Information Security and Applications10.1007/978-3-030-93956-4_6(87-107)Online publication date: 12-Jan-2022
https://doi.org/10.1007/978-3-030-93956-4_6
Xu DLi TLi YSu XTarkoma SJiang TCrowcroft JHui P(2021)Edge Intelligence: Empowering Intelligence to the Edge of NetworkProceedings of the IEEE10.1109/JPROC.2021.3119950109:11(1778-1837)Online publication date: Nov-2021
https://doi.org/10.1109/JPROC.2021.3119950
Tavakoli AKumar SBoukhechba MHeydarian A(2021)Driver State and Behavior Detection Through Smart Wearables2021 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV48863.2021.9575431(559-565)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1109/IV48863.2021.9575431
Tavakoli AKumar SGuo XBalali VBoukhechba MHeydarian A(2021)HARMONY: A Human-Centered Multimodal Driving Study in the WildIEEE Access10.1109/ACCESS.2021.30560079(23956-23978)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3056007
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