Enabling energy-efficient driving route detection using built-in smartphone barometer sensor

Myounggyu Won; Shaohu Zhang; Appala Chekuri; Sang H. Son

doi:10.1109/ITSC.2016.7795939

Enabling energy-efficient driving route detection using built-in smartphone barometer sensor

Myounggyu Won
, Shaohu Zhang
, Appala Chekuri
, Sang H. Son

Department of Electrical Engineering and Computer Science

South Dakota State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Human mobility is known to follow simple reproducible patterns, i.e., humans tend to travel a few known places. Early detection of those "significant journeys" has a prospect for emerging smart applications like real-Time traffic route recommendation and automated HVAC (heating, ventilating, and air conditioning) systems. In this paper, we design, implement, and evaluate a mobile system that effectively captures significant journeys based solely on the embedded barometer sensor of a smartphone. Unique elevation signatures of driving routes are extracted using the barometer sensor of a smartphone that is position/orientation independent and exceptionally energy efficient compared to other power-hungry sensors like gyroscopes and GPS units. Using over 90-miles of real-world data collected from the city of Brookings, SD, we demonstrate that the proposed system achieves the mean detection accuracy of 95.7% with the mean false positive rate of 2.3% using only the barometer sensor.

Original language	English
Title of host publication	2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2378-2385
Number of pages	8
ISBN (Electronic)	9781509018895
DOIs	https://doi.org/10.1109/ITSC.2016.7795939
State	Published - 22 Dec 2016
Event	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil Duration: 1 Nov 2016 → 4 Nov 2016

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	0
ISSN (Electronic)	2153-0017

Conference

Conference	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/Territory	Brazil
City	Rio de Janeiro
Period	1/11/16 → 4/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/ITSC.2016.7795939

Cite this

Won, M., Zhang, S., Chekuri, A., & Son, S. H. (2016). Enabling energy-efficient driving route detection using built-in smartphone barometer sensor. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016 (pp. 2378-2385). Article 7795939 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2016.7795939

Won, Myounggyu ; Zhang, Shaohu ; Chekuri, Appala et al. / Enabling energy-efficient driving route detection using built-in smartphone barometer sensor. 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2378-2385 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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title = "Enabling energy-efficient driving route detection using built-in smartphone barometer sensor",

abstract = "Human mobility is known to follow simple reproducible patterns, i.e., humans tend to travel a few known places. Early detection of those {"}significant journeys{"} has a prospect for emerging smart applications like real-Time traffic route recommendation and automated HVAC (heating, ventilating, and air conditioning) systems. In this paper, we design, implement, and evaluate a mobile system that effectively captures significant journeys based solely on the embedded barometer sensor of a smartphone. Unique elevation signatures of driving routes are extracted using the barometer sensor of a smartphone that is position/orientation independent and exceptionally energy efficient compared to other power-hungry sensors like gyroscopes and GPS units. Using over 90-miles of real-world data collected from the city of Brookings, SD, we demonstrate that the proposed system achieves the mean detection accuracy of 95.7\% with the mean false positive rate of 2.3\% using only the barometer sensor.",

author = "Myounggyu Won and Shaohu Zhang and Appala Chekuri and Son, \{Sang H.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 ; Conference date: 01-11-2016 Through 04-11-2016",

year = "2016",

month = dec,

day = "22",

doi = "10.1109/ITSC.2016.7795939",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

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Won, M, Zhang, S, Chekuri, A & Son, SH 2016, Enabling energy-efficient driving route detection using built-in smartphone barometer sensor. in 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016., 7795939, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 0, Institute of Electrical and Electronics Engineers Inc., pp. 2378-2385, 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, 1/11/16. https://doi.org/10.1109/ITSC.2016.7795939

Enabling energy-efficient driving route detection using built-in smartphone barometer sensor. / Won, Myounggyu; Zhang, Shaohu; Chekuri, Appala et al.
2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2378-2385 7795939 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enabling energy-efficient driving route detection using built-in smartphone barometer sensor

AU - Won, Myounggyu

AU - Zhang, Shaohu

AU - Chekuri, Appala

AU - Son, Sang H.

PY - 2016/12/22

Y1 - 2016/12/22

N2 - Human mobility is known to follow simple reproducible patterns, i.e., humans tend to travel a few known places. Early detection of those "significant journeys" has a prospect for emerging smart applications like real-Time traffic route recommendation and automated HVAC (heating, ventilating, and air conditioning) systems. In this paper, we design, implement, and evaluate a mobile system that effectively captures significant journeys based solely on the embedded barometer sensor of a smartphone. Unique elevation signatures of driving routes are extracted using the barometer sensor of a smartphone that is position/orientation independent and exceptionally energy efficient compared to other power-hungry sensors like gyroscopes and GPS units. Using over 90-miles of real-world data collected from the city of Brookings, SD, we demonstrate that the proposed system achieves the mean detection accuracy of 95.7% with the mean false positive rate of 2.3% using only the barometer sensor.

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M3 - Conference contribution

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Won M, Zhang S, Chekuri A, Son SH. Enabling energy-efficient driving route detection using built-in smartphone barometer sensor. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2378-2385. 7795939. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2016.7795939

Enabling energy-efficient driving route detection using built-in smartphone barometer sensor

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