short-paper

Precise indoor localization using smart phones

Authors:

Gerald Friedland,

Ruzena BajcsyAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 787 - 790

https://doi.org/10.1145/1873951.1874078

Published: 25 October 2010 Publication History

Abstract

We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.

References

[1]

Ryder, J.; Longstaff, B.; Reddy, S.; Estrin, D. 2009 Ambulation: A tool for monitoring mobility patterns over time using mobile phones, Proceedings - 12th IEEE Int. Conf., CSE 2009, v 4, 927--931.

Digital Library

[2]

Shayeganfar, F.; Anjomshoaa, A.; Tjoa, A.; A smart indoor navigation solution based on building information model and google android, Lecture Notes in Computer Science, v 5105 LNCS, 1050--1056

Digital Library

[3]

David, S.; Edlich, S. 2009 A location-based notification- And visualization-system indicating social activities, Proceedings of SPIE, v 7256, 2009.

[4]

Xianhua, S.; Zhenjun, D.; Rong, C. 2009 Research on mobile location service design based on Android, Proceedings - 5th Int. Conf., WiCOM 2009.

Digital Library

[5]

Li, X. 2009. Ratio-based zero-profiling indoor localization, IEEE 6th Int. Conf. MASS, 2009, 40--49.

[6]

Hsu, C.; Yu, C. 2009. An Accelerometer based approach for indoor localization, Symposia and Workshops on UIC'09 and ATC'09 Conferences, 2009, 223--227.

Digital Library

[7]

Pathanawongthum, N.; Cherntanomwong, P. 2009. Empirical evaluation of RFID-based indoor localization with human body effect", 15th Asia-Pacific Conf. on Communications, 2009, 479--482.

Digital Library

[8]

Poovendran, R., Wang, C., Sumit R., 2006. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, Springer, 2006.

Digital Library

[9]

Singh, R., Gandetto, M., Guainazzo, M., Angiati, D., Ragazzoni., C., 2004. A novel positioning system for static location estimation employing WLAN in indoor environment, IEEE PIMRC, v. 3, 2004, 1762--1766.

[10]

Brida, P., Cepel, P., and Duha, J. 2005, Geometric Algorithm for Received Signal Strength Based Mobile Positioning, Proc. Of Czech Slovak Technical Universities & URSI, v. 5, 2005.

[11]

Varshavsky, A., Lara, E., Hightower J., Lamarca, A., Otsason, V. 2007, GSM indoor localization, Pervasive and Mobile Computing, v. 3, 6, 2007, 698--720.

Digital Library

[12]

Otsason, V., Varshavsky, A., Lamarca, A., De Lara, E., 2005, Accurate GSM Indoor Localization, UbiComp 2005, 141--158.

Digital Library

[13]

Roxin, A., Gaber, J., Wack, M., Nait-Sidi-Moh, A., 2007. Survey of Wireless Geolocation Techniques, Globecom Workshops, 2007, 1--9.

[14]

Dempster, A., Li, B., Quader, I., 2008. Errors in deterministic wireless fingerprinting systems for localization, ISWPC 2008, 111--115.

[15]

Mahtab A., Hien N., Yunye J., Wee-Seng S., 2007. Indoor Localization Using Multiple Wireless Technologies, MASS 2007, Oct. 2007, 1--8.

[16]

Bahl, P., Padmanabhan, V., Balachandran, A., 2000. Enhancements to the RADAR user location and tracking system, Technical Report MSR-TR-00-12, Microsoft Research, Feb. 2000.

[17]

Youssef, M., 2004. HORUS: A WLAN-Based indoor location determination system, Ph.D. Dissertation, University of Maryland, 2004.

[18]

King, T., Kopf, S., Haenselmann, T., Lubberger, C., Effelsberg, W., 2006. COMPASS: A Probabilistic Indoor Positioning System Based on 802.11 and Digital Compasses, 1st WiNTECH, Sept 2006, 34--40.

Digital Library

[19]

Ekahau, 2010. http://www.ekahau.com, April 2010.

[20]

Noh, A.S.-I., Lee, W.J., Ye, J.Y., 2008. Comparison of the Mechanisms of the Zigbee's Indoor Localization Algorithm Software Engineering, 9th ACIS Int. Conf., Aug. 2008, 13 - 18.

Digital Library

Cited By

Li ZChen RGuo GYe FQian LXu SHuang LChen L(2024)Dual-Step Acoustic Chirp Signals Detection Using Pervasive Smartphones in Multipath and NLOS Indoor EnvironmentsIEEE Internet of Things Journal10.1109/JIOT.2023.331285311:4(6494-6507)Online publication date: 15-Feb-2024
https://doi.org/10.1109/JIOT.2023.3312853
Bonthu BMohan S(2023)Combining Wi-Fi Fingerprinting and Pedestrian Dead Reckoning to Mitigate External Factors for a Sustainable Indoor Positioning SystemSustainability10.3390/su15141094315:14(10943)Online publication date: 12-Jul-2023
https://doi.org/10.3390/su151410943
Gufran DTiku SPasricha S(2023)STELLAR: Siamese Multiheaded Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity With Indoor LocalizationIEEE Journal of Indoor and Seamless Positioning and Navigation10.1109/JISPIN.2023.33346931(115-129)Online publication date: 2023
https://doi.org/10.1109/JISPIN.2023.3334693
Show More Cited By

Index Terms

Precise indoor localization using smart phones
1. Applied computing
2. Software and its engineering
  1. Software creation and management
    1. Designing software
    2. Software development techniques
  2. Software notations and tools
    1. General programming languages
      1. Language features
        Modules / packages

Recommendations

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 ...
Indoor human localization with orientation using WiFi fingerprinting
ICUIMC '14: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication

Localization in indoor environment poses a fundamental challenge in ubiquitous computing compared to its well-established GPS-based outdoor environment counterpart. This study investigated the feasibility of a WiFi-based indoor positioning system to ...
Expansion RSS-based Indoor Localization Using 5G WiFi Signal
CICN '14: Proceedings of the 2014 International Conference on Computational Intelligence and Communication Networks

Indoor localization based on existent WiFi signal strength is becoming more and more prevalent and ubiquitous. Unfortunately, the WiFi received signal strength (RSS) is susceptible by multipath, signal attenuation and environmental changes, it is the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

Copyright © 2010 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

SIGMM: ACM Special Interest Group on Multimedia

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

MM '10

Sponsor:

SIGMM

MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

Acceptance Rates

Overall Acceptance Rate 995 of 4,171 submissions, 24%

Upcoming Conference

MM '24

Sponsor:
sigmm

The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

Melbourne , VIC , Australia

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

154
Total Citations
View Citations
2,916
Total Downloads

Downloads (Last 12 months)42
Downloads (Last 6 weeks)1

Reflects downloads up to 30 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Li ZChen RGuo GYe FQian LXu SHuang LChen L(2024)Dual-Step Acoustic Chirp Signals Detection Using Pervasive Smartphones in Multipath and NLOS Indoor EnvironmentsIEEE Internet of Things Journal10.1109/JIOT.2023.331285311:4(6494-6507)Online publication date: 15-Feb-2024
https://doi.org/10.1109/JIOT.2023.3312853
Bonthu BMohan S(2023)Combining Wi-Fi Fingerprinting and Pedestrian Dead Reckoning to Mitigate External Factors for a Sustainable Indoor Positioning SystemSustainability10.3390/su15141094315:14(10943)Online publication date: 12-Jul-2023
https://doi.org/10.3390/su151410943
Gufran DTiku SPasricha S(2023)STELLAR: Siamese Multiheaded Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity With Indoor LocalizationIEEE Journal of Indoor and Seamless Positioning and Navigation10.1109/JISPIN.2023.33346931(115-129)Online publication date: 2023
https://doi.org/10.1109/JISPIN.2023.3334693
Liu DAbdelzaher T(2023)Self-Supervised Learning from Unlabeled IoT DataArtificial Intelligence for Edge Computing10.1007/978-3-031-40787-1_2(27-110)Online publication date: 4-Aug-2023
https://doi.org/10.1007/978-3-031-40787-1_2
Zhang TZhang PKalathas PWang GLiu H(2022)A Machine Learning Approach to Improve Ranging Accuracy with AoA and RSSISensors10.3390/s2217640422:17(6404)Online publication date: 25-Aug-2022
https://doi.org/10.3390/s22176404
Saadatzadeh EAli Abbaspour RChehreghan A(2022)An improvement in smartphone-based 3D indoor positioning using an effective map matching methodJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-04027-014:10(13741-13771)Online publication date: 30-Jul-2022
https://doi.org/10.1007/s12652-022-04027-0
Arigye WZhou MTahir MKhalid WPu Q(2021)NNT: Nearest Neighbour Trapezoid Algorithm for IoT WLAN Smart Indoor Localization Leveraging RSSI Height EstimationJournal of Sensors10.1155/2021/19708962021:1Online publication date: 2-Aug-2021
https://doi.org/10.1155/2021/1970896
Li LWang XZheng WXu C(2021)SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social DistanceIEEE INFOCOM 2021 - IEEE Conference on Computer Communications10.1109/INFOCOM42981.2021.9488735(1-10)Online publication date: 10-May-2021
https://doi.org/10.1109/INFOCOM42981.2021.9488735
Liu DAbdelzaher T(2021)Semi-Supervised Contrastive Learning for Human Activity Recognition2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)10.1109/DCOSS52077.2021.00019(45-53)Online publication date: Jul-2021
https://doi.org/10.1109/DCOSS52077.2021.00019
Zamzam MElshabrawy TAshour M(2021)A Minimized Latency Collaborative Computation Offloading Game Under Mobile Edge Computing for Indoor LocalizationIEEE Access10.1109/ACCESS.2021.31151579(133861-133874)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3115157
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