research-article

Beyond horizontal location context: measuring elevation using smartphone's barometer

Authors:

Dunstan Matekenya,

Khan Muhammad Asif Hossain,

Kaoru SezakiAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 459 - 468

https://doi.org/10.1145/2638728.2641670

Published: 13 September 2014 Publication History

Abstract

Accurate estimation of elevation is important for many location based services. Although, it is possible to obtain altitude from GPS, its accuracy is unreliable and applicable in outdoors only. It is possible to use barometers on smartphones to estimate elevation in both indoor and outdoor scenarios. To this end, we proposed an integrated framework to provide ubiquitous and accurate elevation measurement using smartphones. Experiments conducted in both indoor and outdoor with different geographical characteristics reveal that our system can provide elevation with an error less than 5 meters in 90 % of the cases and less than 3 meters in 75 % of the cases, which is sufficient for most practical applications.

References

[1]

Ascher, C., Kessler, C., Weis, R., and Trommer, G. Multi-floor map matching in indoor environments for mobile platforms. In Indoor Positioning and Indoor Navigation (IPIN), IEEE (2012), 1--8.

[2]

Campolongo, F., Cariboni, J., and Saltelli, A. An effective screening design for sensitivity analysis of large models. Environmental modelling and software 22, 10 (2007), 1509--1518.

Digital Library

[3]

Chai, W., Chen, C., Edwan, E., Zhang, J., and Loffeld, O. 2d/3d indoor navigation based on multi-sensor assisted pedestrian navigation in wi-fi environments. In Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012, IEEE (2012), 1--7.

[4]

Gray, R. A., and Maybeck, P. S. An integrated gps/ins/baro and radar altimeter system for aircraft precision approach landings. In Aerospace and Electronics Conference, 1995., vol. 1, IEEE (1995), 161--168.

[5]

He, N., Huo, J., Dong, Y., Li, Y., Yu, Y., and Ren, Y. Atmospheric pressure-aware seamless 3-d localization and navigation for mobile internet devices. Tsinghua Science and Technology 17, 2 (2012), 172--178.

[6]

Hyndman, R. J., and Athanasopoulos, G. Forecasting: principles and practice. Online, www.otexts.org, 2013.

[7]

Kaplan, E. D., and Hegarty, C. J. Understanding GPS: principles and applications. Artech House Inc., 2006.

[8]

Keller, F., Willemsen, T., and Sternberg, H. Calibration of smartphones for the use in indoor navigation. In Indoor Positioning and Indoor Navigation (IPIN), IEEE (2012), 1--8.

[9]

Kim, J., and Sukkarieh, S. A baro-altimeter augmented ins/gps navigation system for an uninhabited aerial vehicle. In Int. Symp. on Satellite Navigation Technologys (2003).

[10]

Li, B., Harvey, B., and Gallagher, T. Using barometers to determine the height for indoor positioning. In IGNSS Symposium 2013 (2013).

[11]

Li, F., Zhao, C., Ding, G., Gong, J., Liu, C., and Zhao, F. A reliable and accurate indoor localization method using phone inertial sensors. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, ACM (2012), 421--430.

Digital Library

[12]

Mohamed, A., and Schwarz, K. Adaptive kalman filtering for ins/gps. Journal of Geodesy 73, 4 (1999), 193--203.

[13]

Morris, M. D. Factorial sampling plans for preliminary computational experiments. Technometrics 33, 2 (1991), 161--174.

Digital Library

[14]

NASA. U.s. standard atmosphere, 1976. Washington, U.S. Government Printing Office.

[15]

Pei, L., Chen, R., and et al. Sensor assisted 3d personal navigation on a smart phone in gps degraded environments. In 19th International Conference on Geoinformatics, IEEE (2011), 1--6.

[16]

Vanini, S., and Giordano, S. Adaptive context-agnostic floor transition detection on smart mobile devices. In Pervasive Computing and Communications Workshops (PERCOM Workshops), IEEE (2013), 2--7.

[17]

Welch, G., and Bishop, G. An introduction to the kalman filter, 1995.

Digital Library

Cited By

Ashraf IZikria YGarg SHur SPark YGuizani M(2024)Enabling Technologies and Techniques for Floor IdentificationACM Computing Surveys10.1145/367887857:1(1-48)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3678878
Mostafa SHarras KYoussef MRenz MNascimento M(2023)UniCellular: An Accurate and Ubiquitous Floor Identification System using Single Cell Tower InformationProceedings of the 31st ACM International Conference on Advances in Geographic Information Systems10.1145/3589132.3625635(1-10)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3589132.3625635
Li YChen WWang JNie X(2023)Precise Indoor and Outdoor Altitude Estimation Based on SmartphoneIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.331539172(1-11)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3315391
Show More Cited By

Index Terms

Beyond horizontal location context: measuring elevation using smartphone's barometer
1. Information systems
  1. Information systems applications

Recommendations

Improving floor localization accuracy in 3D spaces using barometer
ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

Technologies such as Wifi and BLE have been proven to be effective for indoor localization in two dimensional spaces with sufficiently good accuracy but the same techniques have large margin of errors when it comes to three dimensional spaces. Popular ...
Estimate a user's location using smartphone's barometer on a subway
MELT '15: Proceedings of the 5th International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments

Knowing the location of a train is necessary to develop a useful service for train passengers. However, popular localization methods such as GPS and Wi-Fi are not accurate especially on a subway. As an alternative method, estimation of motion state and ...
Scalable floor localization using barometer on smartphone

Traditional fingerprint-based localization techniques mainly rely on infrastructure support such as GSM and Wi-Fi. They require war-driving, which is both time-consuming and labor-intensive. With recent advances of smartphone sensors, sensor-assisted ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Copyright © 2014 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

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

UbiComp '14

Sponsor:

UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

Acceptance Rates

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

41
Total Citations
View Citations
482
Total Downloads

Downloads (Last 12 months)17
Downloads (Last 6 weeks)3

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Ashraf IZikria YGarg SHur SPark YGuizani M(2024)Enabling Technologies and Techniques for Floor IdentificationACM Computing Surveys10.1145/367887857:1(1-48)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3678878
Mostafa SHarras KYoussef MRenz MNascimento M(2023)UniCellular: An Accurate and Ubiquitous Floor Identification System using Single Cell Tower InformationProceedings of the 31st ACM International Conference on Advances in Geographic Information Systems10.1145/3589132.3625635(1-10)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3589132.3625635
Li YChen WWang JNie X(2023)Precise Indoor and Outdoor Altitude Estimation Based on SmartphoneIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.331539172(1-11)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3315391
Fernandez DMichalik PValle JBanerji SSanchez-Chiva JMadrenas J(2023)Monolithic Sensor Integration in CMOS TechnologiesIEEE Sensors Journal10.1109/JSEN.2022.322486623:2(1479-1496)Online publication date: 15-Jan-2023
https://doi.org/10.1109/JSEN.2022.3224866
Tsubouchi KHirayama YIkuta TNishio N(2023)Enhancing Indoor Altitude Estimation on Smartphones: Resolving Ventilation Fan Effects2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN57070.2023.10332469(1-7)Online publication date: 25-Sep-2023
https://doi.org/10.1109/IPIN57070.2023.10332469
Wang QFu MWang JLuo HSun LMa ZLi WZhang CHuang RLi XJiang ZHuang YXia M(2023)Recent advances in floor positioning based on smartphoneMeasurement10.1016/j.measurement.2023.112813214(112813)Online publication date: Jun-2023
https://doi.org/10.1016/j.measurement.2023.112813
Wang JChen WWeng DDing WLi Y(2023)Barometer assisted smartphone localization for vehicle navigation in multilayer road networksMeasurement10.1016/j.measurement.2023.112661211(112661)Online publication date: Apr-2023
https://doi.org/10.1016/j.measurement.2023.112661
Menon DKorkut SInglese TDornberger R(2023)Mobile-Sensing auf Smartphones für das Aufgabenmanagement im täglichen LebenNeue Trends in Wirtschaftsinformatik und eingesetzte Technologien10.1007/978-3-031-32538-0_5(67-85)Online publication date: 28-Jul-2023
https://doi.org/10.1007/978-3-031-32538-0_5
Saha SSandha SGarcia LSrivastava M(2022)TinyOdomProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35345946:2(1-32)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534594
Ren CTang LYang XLong J(2022)Mapping Grade-Separated Junctions in Detail Using Crowdsourced Trajectory DataIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.305491023:6(5552-5561)Online publication date: Jun-2022
https://doi.org/10.1109/TITS.2021.3054910
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents