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@inproceedings{1202232,
author = {Ševčík, Jonáš},
address = {Portugal},
booktitle = {Proceedings of the 9th International Conference on Software Engineering and Applications},
doi = {http://dx.doi.org/10.5220/0005104604880493},
editor = {Andreas Holzinger, Therese Libourel, Leszek Maciaszek and Stephen Mellor},
keywords = {Indoor Localization; Android; 802.11 Fingerprinting; Mobile Phone Tracking},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Portugal},
isbn = {978-989-758-036-9},
pages = {488-493},
publisher = {SCITEPRESS},
title = {Indoor Pedestrian Localization for Mobile Devices : The model},
year = {2014}
}
TY - JOUR
ID - 1202232
AU - Ševčík, Jonáš
PY - 2014
TI - Indoor Pedestrian Localization for Mobile Devices : The model
PB - SCITEPRESS
CY - Portugal
SN - 9789897580369
KW - Indoor Localization
KW - Android
KW - 802.11 Fingerprinting
KW - Mobile Phone Tracking
N2 - Indoor localization using mobile devices is one of the emerging areas of today’s interest. This paper presents a model for indoor localization based on 802.11 Wi-Fi fingerprinting in combination of inertial navigation running in parallel. We introduce a novel model scheme, where we use a state-of-the-art Compass system. The system is enhanced by clustering and the position calculation is influenced by the distance traveled between each fingerprinting, allowing us to eliminate improbable location estimations. Proposed system is supposed to be resilient to received signal strength blocking caused by a human body, and also to be more accurate than other up-to-date solutions.)
ER -
ŠEVČÍK, Jonáš. Indoor Pedestrian Localization for Mobile Devices : The model. Online. In Andreas Holzinger, Therese Libourel, Leszek Maciaszek and Stephen Mellor. \textit{Proceedings of the 9th International Conference on Software Engineering and Applications}. Portugal: SCITEPRESS, 2014, p.~488-493. ISBN~978-989-758-036-9. Available from: https://dx.doi.org/10.5220/0005104604880493.
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