Exploiting user movement direction and hidden access point for smartphone localization

Eugene Kim, Seungho Yoo, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a GPS-less localization method, called Hidden Access Point Estimation-based Localization or HAPEL to pinpoint user's current position in an underground or indoor environment, especially where APs are placed scarcely in that two or less Wi-Fi access points are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization by exploiting hidden access points and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope all of which are usually installed on smartphones, and the estimation result is used to choose which hidden access points participate in the weighted centroid localization. We have conducted a performance evaluation study on HAPEL in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the weighted centroid localization significantly.

Original languageEnglish
Title of host publicationInternational Conference on Ubiquitous and Future Networks, ICUFN
Pages450-455
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 - Da Nang, Viet Nam
Duration: 2013 Jul 22013 Jul 5

Other

Other5th International Conference on Ubiquitous and Future Networks, ICUFN 2013
CountryViet Nam
CityDa Nang
Period13/7/213/7/5

Fingerprint

Smartphones
Wi-Fi
Gyroscopes
Accelerometers
Global positioning system
Scanning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Kim, E., Yoo, S., & Kim, H. (2013). Exploiting user movement direction and hidden access point for smartphone localization. In International Conference on Ubiquitous and Future Networks, ICUFN (pp. 450-455). [6614859] https://doi.org/10.1109/ICUFN.2013.6614859

Exploiting user movement direction and hidden access point for smartphone localization. / Kim, Eugene; Yoo, Seungho; Kim, Hwangnam.

International Conference on Ubiquitous and Future Networks, ICUFN. 2013. p. 450-455 6614859.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, E, Yoo, S & Kim, H 2013, Exploiting user movement direction and hidden access point for smartphone localization. in International Conference on Ubiquitous and Future Networks, ICUFN., 6614859, pp. 450-455, 5th International Conference on Ubiquitous and Future Networks, ICUFN 2013, Da Nang, Viet Nam, 13/7/2. https://doi.org/10.1109/ICUFN.2013.6614859
Kim E, Yoo S, Kim H. Exploiting user movement direction and hidden access point for smartphone localization. In International Conference on Ubiquitous and Future Networks, ICUFN. 2013. p. 450-455. 6614859 https://doi.org/10.1109/ICUFN.2013.6614859
Kim, Eugene ; Yoo, Seungho ; Kim, Hwangnam. / Exploiting user movement direction and hidden access point for smartphone localization. International Conference on Ubiquitous and Future Networks, ICUFN. 2013. pp. 450-455
@inproceedings{ad44db16aa29426680b3bdd953eb7491,
title = "Exploiting user movement direction and hidden access point for smartphone localization",
abstract = "In this paper, we propose a GPS-less localization method, called Hidden Access Point Estimation-based Localization or HAPEL to pinpoint user's current position in an underground or indoor environment, especially where APs are placed scarcely in that two or less Wi-Fi access points are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization by exploiting hidden access points and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope all of which are usually installed on smartphones, and the estimation result is used to choose which hidden access points participate in the weighted centroid localization. We have conducted a performance evaluation study on HAPEL in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the weighted centroid localization significantly.",
author = "Eugene Kim and Seungho Yoo and Hwangnam Kim",
year = "2013",
month = "12",
day = "1",
doi = "10.1109/ICUFN.2013.6614859",
language = "English",
isbn = "9781467359900",
pages = "450--455",
booktitle = "International Conference on Ubiquitous and Future Networks, ICUFN",

}

TY - GEN

T1 - Exploiting user movement direction and hidden access point for smartphone localization

AU - Kim, Eugene

AU - Yoo, Seungho

AU - Kim, Hwangnam

PY - 2013/12/1

Y1 - 2013/12/1

N2 - In this paper, we propose a GPS-less localization method, called Hidden Access Point Estimation-based Localization or HAPEL to pinpoint user's current position in an underground or indoor environment, especially where APs are placed scarcely in that two or less Wi-Fi access points are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization by exploiting hidden access points and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope all of which are usually installed on smartphones, and the estimation result is used to choose which hidden access points participate in the weighted centroid localization. We have conducted a performance evaluation study on HAPEL in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the weighted centroid localization significantly.

AB - In this paper, we propose a GPS-less localization method, called Hidden Access Point Estimation-based Localization or HAPEL to pinpoint user's current position in an underground or indoor environment, especially where APs are placed scarcely in that two or less Wi-Fi access points are within the scanning range. Conceptually, HAPEL enhances the weighted centroid localization by exploiting hidden access points and estimating the direction of user movement. The movement direction can be estimated with digital compass, accelerometer and gyroscope all of which are usually installed on smartphones, and the estimation result is used to choose which hidden access points participate in the weighted centroid localization. We have conducted a performance evaluation study on HAPEL in an empirical test-bed. The results indicate that HAPEL improves the accuracy of the weighted centroid localization significantly.

UR - http://www.scopus.com/inward/record.url?scp=84891586616&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891586616&partnerID=8YFLogxK

U2 - 10.1109/ICUFN.2013.6614859

DO - 10.1109/ICUFN.2013.6614859

M3 - Conference contribution

AN - SCOPUS:84891586616

SN - 9781467359900

SP - 450

EP - 455

BT - International Conference on Ubiquitous and Future Networks, ICUFN

ER -