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From Pressure to Path: Barometer-based Vehicle Tracking

Authors:

Prashanth Swaminathan,

Mani SrivastavaAuthors Info & Claims

BuildSys '15: Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments

Pages 65 - 74

https://doi.org/10.1145/2821650.2821665

Published: 04 November 2015 Publication History

Abstract

Pervasive mobile devices have enabled countless context- and location-based applications that facilitate navigation, life-logging, and more. As we build the next generation of smart cities, it is important to leverage the rich sensing modalities that these numerous devices have to offer. This work demonstrates how mobile devices can be used to accurately track driving patterns based solely on pressure data collected from the device's barometer. Specifically, by correlating pressure time-series data against topographic elevation data and road maps for a given region, a centralized computer can estimate the likely paths through which individual users have driven, providing an exceptionally low-power method for measuring driving patterns of a given individual or for analyzing group behavior across multiple users. This work also brings to bear a more nefarious side effect of pressure-based path estimation: a mobile application can, without consent and without notifying the user, use pressure data to accurately detect an individual's driving behavior, compromising both user privacy and security. We further analyze the ability to predict driving trajectories in terms of the variance in barometer pressure and geographical elevation, demonstrating cases in which more than 80% of paths can be accurately predicted.

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Cited By

Qin HNiu ZCong LCao S(2024)Height Estimation for Pedestrian Using Nonscenario-Based Motion Mode ClassificationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.347004873(1-12)Online publication date: 2024
https://doi.org/10.1109/TIM.2024.3470048
Kalupahana ABalaji AXiao XPeh L(2023)SeRaNDiPProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962527:2(1-38)Online publication date: 12-Jun-2023
https://dl.acm.org/doi/10.1145/3596252
Sanim KEnglish CKitzhaber ZKalaitzakis MVitzilaios NMyrick MHodgson MRichardson T(2023)Autonomous UAS-based Water Fluorescence Mapping and Targeted SamplingJournal of Intelligent and Robotic Systems10.1007/s10846-023-01880-9108:2Online publication date: 15-Jun-2023
https://dl.acm.org/doi/10.1007/s10846-023-01880-9
Show More Cited By

Index Terms

From Pressure to Path: Barometer-based Vehicle Tracking
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems
2. Mathematics of computing
  1. Probability and statistics
    1. Statistical paradigms
      1. Time series analysis

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cover image ACM Conferences

BuildSys '15: Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments

November 2015

264 pages

ISBN:9781450339810

DOI:10.1145/2821650

General Chair:
David Culler
University of California, Berkeley, USA
,
Program Chairs:
Yuvraj Agarwal
Carnegie Mellon University, USA
,
Rahul Mangharam
University of Pennslyvania, 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]

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Publication History

Published: 04 November 2015

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National Institute of Health
National Science Foundation

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BuildSys '15

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BuildSys '15: The 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments

November 4 - 5, 2015

Seoul, South Korea

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BuildSys '15 Paper Acceptance Rate 20 of 66 submissions, 30%;

Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

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https://doi.org/10.1109/TIM.2024.3470048
Kalupahana ABalaji AXiao XPeh L(2023)SeRaNDiPProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962527:2(1-38)Online publication date: 12-Jun-2023
https://dl.acm.org/doi/10.1145/3596252
Sanim KEnglish CKitzhaber ZKalaitzakis MVitzilaios NMyrick MHodgson MRichardson T(2023)Autonomous UAS-based Water Fluorescence Mapping and Targeted SamplingJournal of Intelligent and Robotic Systems10.1007/s10846-023-01880-9108:2Online publication date: 15-Jun-2023
https://dl.acm.org/doi/10.1007/s10846-023-01880-9
Fazeldehkordi EGrønli T(2022)A Survey of Security Architectures for Edge Computing-Based IoTIoT10.3390/iot30300193:3(332-365)Online publication date: 30-Jun-2022
https://doi.org/10.3390/iot3030019
Yang BChen RHuang KYang JGao WFalsafi BFerdman MLu SWenisch T(2022)Eavesdropping user credentials via GPU side channels on smartphonesProceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3503222.3507757(285-299)Online publication date: 28-Feb-2022
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Bieler MSkretting ABudinger PGronli T(2022)Survey of Automated Fare Collection Solutions in Public TransportationIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.316160623:9(14248-14266)Online publication date: Sep-2022
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Wang CHo PChen J(2022)BARLD: Barometer-Assisted Road-Layer DetectionIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.309347923:7(9226-9239)Online publication date: Jul-2022
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Manivannan AWillemse EB. T BChin WZhou YTuncer BBarrat ABouffanais R(2022)A Framework for the Identification of Human Vertical Displacement Activity Based on Multi-Sensor DataIEEE Sensors Journal10.1109/JSEN.2022.315780622:8(8011-8029)Online publication date: 15-Apr-2022
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Aggarwal SMalone D(2021)On the Feasibility of Localising Smart Devices using Air Pressure2021 32nd Irish Signals and Systems Conference (ISSC)10.1109/ISSC52156.2021.9467882(1-6)Online publication date: 10-Jun-2021
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Sheng LTian RYe H(2021)Assist GPS to Improve Accuracy Under Complex Road Conditions Using Sensors on Smart PhoneMachine Learning and Intelligent Communications10.1007/978-3-030-66785-6_33(287-303)Online publication date: 24-Jan-2021
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