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Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones

Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic i...

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Detalles Bibliográficos
Autores principales: Saeedi, Sara, Moussa, Adel, El-Sheimy, Naser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029676/
https://www.ncbi.nlm.nih.gov/pubmed/24670715
http://dx.doi.org/10.3390/s140405742
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author Saeedi, Sara
Moussa, Adel
El-Sheimy, Naser
author_facet Saeedi, Sara
Moussa, Adel
El-Sheimy, Naser
author_sort Saeedi, Sara
collection PubMed
description Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic idea is that mobile navigation services can provide different services based on different contexts—where contexts are related to the user's activity and the device placement. Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation. The proposed approach in this paper is using low-cost sensors in a multi-level fusion scheme to improve the accuracy and robustness of context-aware navigation system. The experimental results demonstrate the capabilities of the context-aware Personal Navigation Systems (PNS) for outdoor personal navigation using a smartphone.
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spelling pubmed-40296762014-05-22 Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones Saeedi, Sara Moussa, Adel El-Sheimy, Naser Sensors (Basel) Article Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic idea is that mobile navigation services can provide different services based on different contexts—where contexts are related to the user's activity and the device placement. Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation. The proposed approach in this paper is using low-cost sensors in a multi-level fusion scheme to improve the accuracy and robustness of context-aware navigation system. The experimental results demonstrate the capabilities of the context-aware Personal Navigation Systems (PNS) for outdoor personal navigation using a smartphone. MDPI 2014-03-25 /pmc/articles/PMC4029676/ /pubmed/24670715 http://dx.doi.org/10.3390/s140405742 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Saeedi, Sara
Moussa, Adel
El-Sheimy, Naser
Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones
title Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones
title_full Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones
title_fullStr Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones
title_full_unstemmed Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones
title_short Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones
title_sort context-aware personal navigation using embedded sensor fusion in smartphones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029676/
https://www.ncbi.nlm.nih.gov/pubmed/24670715
http://dx.doi.org/10.3390/s140405742
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