Location estimation indoors by means of small computing power devices, accelerometers, magnetic sensors and map knowledge

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

27 Citations (Scopus)

Abstract

A distributed real-time system, based on wearable accelerometers and magnetic sensors, is proposed for location estimation and recognition of walking behaviors. Suitable for both outdoor and indoor navigation, the system is especially adjusted for irregular movements indoors. The algorithm, which demands only small computing resources, performs step detection and classification in the time domain, allowing the estimation of the size of each separate step independently. Since the system finds the user's position relative to an initial position, it is intended to be supplemented with different types of absolute positioning information. Making use of map knowledge, as an easily available source of this information, is analyzed. The conclusion is drawn that referring to the locations of the corridors and stairways increases the positioning accuracy and reduces the effect of magnetic field distortions encountered inside buildings. The positioning error of different system configurations was 3-10 % from traveled distance.
Original languageEnglish
Title of host publicationPervasive Computing
Pages211-224
DOIs
Publication statusPublished - 2002
MoE publication typeA4 Article in a conference publication
Event1st International Conference Pervasive 2002 - Zürich, Switzerland
Duration: 26 Aug 200228 Aug 2002

Publication series

SeriesLecture Notes in Computer Science
Volume2414
ISSN0302-9743

Conference

Conference1st International Conference Pervasive 2002
CountrySwitzerland
CityZürich
Period26/08/0228/08/02

Fingerprint

Magnetic sensors
Accelerometers
Stairs
Real time systems
Navigation
Magnetic fields

Cite this

@inproceedings{6e5f103924e34849996e64b9a9bea128,
title = "Location estimation indoors by means of small computing power devices, accelerometers, magnetic sensors and map knowledge",
abstract = "A distributed real-time system, based on wearable accelerometers and magnetic sensors, is proposed for location estimation and recognition of walking behaviors. Suitable for both outdoor and indoor navigation, the system is especially adjusted for irregular movements indoors. The algorithm, which demands only small computing resources, performs step detection and classification in the time domain, allowing the estimation of the size of each separate step independently. Since the system finds the user's position relative to an initial position, it is intended to be supplemented with different types of absolute positioning information. Making use of map knowledge, as an easily available source of this information, is analyzed. The conclusion is drawn that referring to the locations of the corridors and stairways increases the positioning accuracy and reduces the effect of magnetic field distortions encountered inside buildings. The positioning error of different system configurations was 3-10 {\%} from traveled distance.",
author = "Elena Vildjiounaite and Esko-Juhani Malm and Jouni Kaartinen and Petteri Alahuhta",
year = "2002",
doi = "10.1007/3-540-45866-2_17",
language = "English",
isbn = "978-3-540-45866-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "211--224",
booktitle = "Pervasive Computing",

}

Vildjiounaite, E, Malm, E-J, Kaartinen, J & Alahuhta, P 2002, Location estimation indoors by means of small computing power devices, accelerometers, magnetic sensors and map knowledge. in Pervasive Computing. Lecture Notes in Computer Science, vol. 2414, pp. 211-224, 1st International Conference Pervasive 2002, Zürich, Switzerland, 26/08/02. https://doi.org/10.1007/3-540-45866-2_17

Location estimation indoors by means of small computing power devices, accelerometers, magnetic sensors and map knowledge. / Vildjiounaite, Elena; Malm, Esko-Juhani; Kaartinen, Jouni; Alahuhta, Petteri.

Pervasive Computing. 2002. p. 211-224 (Lecture Notes in Computer Science, Vol. 2414).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - A distributed real-time system, based on wearable accelerometers and magnetic sensors, is proposed for location estimation and recognition of walking behaviors. Suitable for both outdoor and indoor navigation, the system is especially adjusted for irregular movements indoors. The algorithm, which demands only small computing resources, performs step detection and classification in the time domain, allowing the estimation of the size of each separate step independently. Since the system finds the user's position relative to an initial position, it is intended to be supplemented with different types of absolute positioning information. Making use of map knowledge, as an easily available source of this information, is analyzed. The conclusion is drawn that referring to the locations of the corridors and stairways increases the positioning accuracy and reduces the effect of magnetic field distortions encountered inside buildings. The positioning error of different system configurations was 3-10 % from traveled distance.

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