poster

Step-level person localization through sparse sensing of structural vibration

Authors:

Hae Young NohAuthors Info & Claims

IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks

Pages 376 - 377

https://doi.org/10.1145/2737095.2742924

Published: 13 April 2015 Publication History

Get Access

Abstract

We describe a step-level indoor localization system which uses the ground vibration induced by human footsteps. Indoor localization is important for various smart building applications, including resources arrangement optimization, patient/customer tracking, etc. Geophones are used to measure the ground vibrations and time difference of arrival (TDoA) for different sensors are used to solve the multilateration localization problem. The advantages of this system include its sparsity and also its stability over time. Lesser dependency on instrument people is another upside of this system. The results of pilot tests show that this system can be successfully used for indoor localization.

References

[1]

J. T. Biehl, M. Cooper, G. Filby, and S. Kratz. Loco: a ready-to-deploy framework for efficient room localization using wi-fi. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 183--187. ACM, 2014.

Digital Library

Google Scholar

[2]

M. Hardegger, G. Tröster, and D. Roggen. Improved actionslam for long-term indoor tracking with wearable motion sensors. In Proceedings of the 17th annual international symposium on International symposium on wearable computers, pages 1--8. ACM, 2013.

Digital Library

Google Scholar

[3]

J. Jun, Y. Gu, L. Cheng, B. Lu, J. Sun, T. Zhu, and J. Niu. Social-loc: improving indoor localization with social sensing. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, page 14. ACM, 2013.

Digital Library

Google Scholar

[4]

S. Pan, A. Bonde, J. Jing, L. Zhang, P. Zhang, and H. Noh. Boes: building occupancy estimation system using sparse ambient vibration monitoring. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, pages 90611O--90611O. International Society for Optics and Photonics, 2014.

Google Scholar

[5]

S. Pan, N. Wang, Y. Qian, I. Velibeyoglu, H. Noh, and P. Zhang. Indoor person identification through footstep induced structural vibration. In The 16th International Workshop on Mobile Computing Systems and Applications, 2015.

Digital Library

Google Scholar

[6]

A. S. Paul, E. A. Wan, F. Adenwala, E. Schafermeyer, N. Preiser, J. Kaye, and P. G. Jacobs. Mobilerf: a robust device-free tracking system based on a hybrid neural network hmm classifier. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 159--170. ACM, 2014.

Digital Library

Google Scholar

[7]

C. Xu, B. Firner, R. S. Moore, Y. Zhang, W. Trappe, R. Howard, F. Zhang, and N. An. Scpl: Indoor device-free multi-subject counting and localization using radio signal strength. In Proceedings of the 12th international conference on Information Processing in Sensor Networks, pages 79--90. ACM, 2013.

Digital Library

Google Scholar

[8]

C. Zhang, F. Li, J. Luo, and Y. He. ilocscan: harnessing multipath for simultaneous indoor source localization and space scanning. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, pages 91--104. ACM, 2014.

Digital Library

Google Scholar

[9]

Y. Zhang, C. Luo, and J. Liu. Walk&sketch: create floor plans with an rgb-d camera. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, pages 461--470. ACM, 2012.

Digital Library

Google Scholar

[10]

Y. Zheng, G. Shen, L. Li, C. Zhao, M. Li, and F. Zhao. Travi-navi: Self-deployable indoor navigation system. In Proceedings of the 20th annual international conference on Mobile computing and networking, pages 471--482. ACM, 2014.

Digital Library

Google Scholar

Cited By

View all

Boovaraghavan SChen CMaravi ACzapik MZhang YHarrison CAgarwal Y(2023)MitesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808657:1(1-32)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580865
Choudhary PGoel NSaini M(2023)A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity RecognitionACM Computing Surveys10.1145/356867155:11(1-36)Online publication date: 9-Feb-2023
https://dl.acm.org/doi/10.1145/3568671
Choudhary PGoel NSaini M(2022)A Fingerprinting Based Audio-Seismic Systems for Human Target Localization in an Outdoor Environment Using RegressionIEEE Sensors Journal10.1109/JSEN.2022.315488922:8(7944-7960)Online publication date: 15-Apr-2022
https://doi.org/10.1109/JSEN.2022.3154889
Show More Cited By

Index Terms

Step-level person localization through sparse sensing of structural vibration

Recommendations

Multi-algorithm UWB-based localization method for mixed LOS/NLOS environments
Abstract
Ultra-wideband (UWB) is considered the most promising radio technology for high-accuracy indoor localization because of its many desirable properties, including a sub-decimeter level ranging accuracy under line-of-sight (LOS) ...
Semi-Automatic Self-Calibrating Indoor Localization Using BLE Beacon Multilateration
FRUCT'23: Proceedings of the 23rd Conference of Open Innovations Association FRUCT

The indoor localization within public environments remains a complex and challenging task due to a number of issues related to the sensor infrastructure, space geometry and mobile device restrictions. This paper describes a hybrid indoor localization ...
A Polygonal Method for Ranging-Based Localization in an Indoor Wireless Sensor Network

In this paper, we propose an indoor localization method in a wireless sensor network based on IEEE 802.15.4 specification. The proposed method follows a ranging-based approach using not only the measurements of received signal strength (RSS) but also ...

Comments

Information & Contributors

Information

Published In

IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks

April 2015

430 pages

ISBN:9781450334754

DOI:10.1145/2737095

General Chair:
Suman Nath
Microsoft Research
,
Program Chairs:
Bhaskar Krishnamachari
University of Southern California
,
Anthony Rowe
Carnegie Mellon University

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2015

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

Conference

IPSN '15

Sponsor:

IEEE-SPS
IEEE-CSS
ACM
SIGBED
IEEE-CS IRTS

IPSN '15: The 14th International Conference on Information Processing in Sensor Networks

April 13 - 16, 2015

Washington, Seattle

Acceptance Rates

Overall Acceptance Rate 143 of 593 submissions, 24%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

13
Total Citations
View Citations
302
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Boovaraghavan SChen CMaravi ACzapik MZhang YHarrison CAgarwal Y(2023)MitesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808657:1(1-32)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580865
Choudhary PGoel NSaini M(2023)A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity RecognitionACM Computing Surveys10.1145/356867155:11(1-36)Online publication date: 9-Feb-2023
https://dl.acm.org/doi/10.1145/3568671
Choudhary PGoel NSaini M(2022)A Fingerprinting Based Audio-Seismic Systems for Human Target Localization in an Outdoor Environment Using RegressionIEEE Sensors Journal10.1109/JSEN.2022.315488922:8(7944-7960)Online publication date: 15-Apr-2022
https://doi.org/10.1109/JSEN.2022.3154889
Davis BCaicedo JHirth V(2021)Force Estimation and Event Localization (FEEL) of Impacts Using Structural VibrationsJournal of Engineering Mechanics10.1061/(ASCE)EM.1943-7889.0001890147:3Online publication date: Mar-2021
https://doi.org/10.1061/(ASCE)EM.1943-7889.0001890
Pan SMirshekari MFagert JRuiz CNoh HZhang P(2019)Area Occupancy Counting Through Sparse Structural Vibration SensingIEEE Pervasive Computing10.1109/MPRV.2018.287357418:1(28-37)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/MPRV.2018.2873574
Liu SHe T(2017)SmartLightProceedings of the 15th ACM Conference on Embedded Network Sensor Systems10.1145/3131672.3131677(1-14)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.1145/3131672.3131677
Pan SYu TMirshekari MFagert JBonde AMengshoel ONoh HZhang P(2017)FootprintIDProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309541:3(1-31)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3130954
Bannis ANoh HZhang PZhang PDutta PXing G(2017)Interdependent component framework for simulating indoor internet-of-things systems (intercom)Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks10.1145/3055031.3055066(315-316)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3055031.3055066
Zhou TZhang YChen XZhang PZhang LZhang PDutta PXing G(2017)E-loc: indoor localization through building electric wiringProceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks10.1145/3055031.3055064(311-312)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3055031.3055064
Simon GZachar GVakulya G(2017)Lookup: Robust and Accurate Indoor Localization Using Visible Light CommunicationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2017.270787866:9(2337-2348)Online publication date: Sep-2017
https://doi.org/10.1109/TIM.2017.2707878
Show More Cited By

View Options

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.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Multi-algorithm UWB-based localization method for mixed LOS/NLOS environments

Semi-Automatic Self-Calibrating Indoor Localization Using BLE Beacon Multilateration

A Polygonal Method for Ranging-Based Localization in an Indoor Wireless Sensor Network

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations