Indoor Pedestrian Localization for Mobile Devices : The model

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Authors

ŠEVČÍK Jonáš

Year of publication 2014
Type Article in Proceedings
Conference Proceedings of the 9th International Conference on Software Engineering and Applications
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.5220/0005104604880493
Field Informatics
Keywords Indoor Localization; Android; 802.11 Fingerprinting; Mobile Phone Tracking
Description 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.)
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