Wi-Fi fingerprint-based topological map building for indoor user tracking

Hyojeong Shin; Hojung Cha

doi:10.1109/RTCSA.2010.23

Wi-Fi fingerprint-based topological map building for indoor user tracking

Hyojeong Shin, Hojung Cha

College of Computing

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

32 Citations (Scopus)

Abstract

Estimating the geographical position of mobile device such as Smartphone in an indoor environment is not easy without the use of specific infrastructures. In this article, we introduce an indoor user tracking system. The system constructs a topological map with Wi-Fi signal calibrations, assigns semantically meaningful labels into the map, and estimates the semantic location of the user based on the current Wi-Fi observation. The system does not require a geometric map, or costly radio map building process. We implemented the system with the off-the-shelf Smartphone and experimentally validated the scheme.

Original language	English
Title of host publication	Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010
Pages	105-113
Number of pages	9
DOIs	https://doi.org/10.1109/RTCSA.2010.23
Publication status	Published - 2010
Event	16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010 - Macau, China Duration: 2010 Aug 23 → 2010 Aug 25

Publication series

Name	Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010

Other

Other	16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010
Country/Territory	China
City	Macau
Period	10/8/23 → 10/8/25

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/RTCSA.2010.23

Cite this

Shin, H., & Cha, H. (2010). Wi-Fi fingerprint-based topological map building for indoor user tracking. In Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010 (pp. 105-113). Article 5591303 (Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010). https://doi.org/10.1109/RTCSA.2010.23

Shin, Hyojeong ; Cha, Hojung. / Wi-Fi fingerprint-based topological map building for indoor user tracking. Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010. 2010. pp. 105-113 (Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010).

@inproceedings{d84f6b5dee804f15846563972d7a05e8,

title = "Wi-Fi fingerprint-based topological map building for indoor user tracking",

abstract = "Estimating the geographical position of mobile device such as Smartphone in an indoor environment is not easy without the use of specific infrastructures. In this article, we introduce an indoor user tracking system. The system constructs a topological map with Wi-Fi signal calibrations, assigns semantically meaningful labels into the map, and estimates the semantic location of the user based on the current Wi-Fi observation. The system does not require a geometric map, or costly radio map building process. We implemented the system with the off-the-shelf Smartphone and experimentally validated the scheme.",

keywords = "Localization, Pedestrian tracking, Topological SLAM, Wi-Fi fingerprint",

author = "Hyojeong Shin and Hojung Cha",

year = "2010",

doi = "10.1109/RTCSA.2010.23",

language = "English",

isbn = "9780769541556",

series = "Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010",

pages = "105--113",

booktitle = "Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010",

note = "16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010 ; Conference date: 23-08-2010 Through 25-08-2010",

}

Shin, H & Cha, H 2010, Wi-Fi fingerprint-based topological map building for indoor user tracking. in Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010., 5591303, Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010, pp. 105-113, 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010, Macau, China, 10/8/23. https://doi.org/10.1109/RTCSA.2010.23

Wi-Fi fingerprint-based topological map building for indoor user tracking. / Shin, Hyojeong; Cha, Hojung.
Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010. 2010. p. 105-113 5591303 (Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010).

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

TY - GEN

T1 - Wi-Fi fingerprint-based topological map building for indoor user tracking

AU - Shin, Hyojeong

AU - Cha, Hojung

PY - 2010

Y1 - 2010

N2 - Estimating the geographical position of mobile device such as Smartphone in an indoor environment is not easy without the use of specific infrastructures. In this article, we introduce an indoor user tracking system. The system constructs a topological map with Wi-Fi signal calibrations, assigns semantically meaningful labels into the map, and estimates the semantic location of the user based on the current Wi-Fi observation. The system does not require a geometric map, or costly radio map building process. We implemented the system with the off-the-shelf Smartphone and experimentally validated the scheme.

AB - Estimating the geographical position of mobile device such as Smartphone in an indoor environment is not easy without the use of specific infrastructures. In this article, we introduce an indoor user tracking system. The system constructs a topological map with Wi-Fi signal calibrations, assigns semantically meaningful labels into the map, and estimates the semantic location of the user based on the current Wi-Fi observation. The system does not require a geometric map, or costly radio map building process. We implemented the system with the off-the-shelf Smartphone and experimentally validated the scheme.

KW - Localization

KW - Pedestrian tracking

KW - Topological SLAM

KW - Wi-Fi fingerprint

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T3 - Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010

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BT - Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010

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Shin H, Cha H. Wi-Fi fingerprint-based topological map building for indoor user tracking. In Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010. 2010. p. 105-113. 5591303. (Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010). doi: 10.1109/RTCSA.2010.23

Wi-Fi fingerprint-based topological map building for indoor user tracking

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