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Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)

The correlations between smartphone sensors, algorithms, and relevant techniques are major components facilitating indoor localization and tracking in the absence of communication and localization standards. A major research gap can be noted in terms of explaining the connections between these compo...

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Autores principales: AlSahly, Abdullah M., Hassan, Mohammad Mehedi, Saleem, Kashif, Alabrah, Amerah, Rodrigues, Joel J. P. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460854/
https://www.ncbi.nlm.nih.gov/pubmed/36080971
http://dx.doi.org/10.3390/s22176513
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author AlSahly, Abdullah M.
Hassan, Mohammad Mehedi
Saleem, Kashif
Alabrah, Amerah
Rodrigues, Joel J. P. C.
author_facet AlSahly, Abdullah M.
Hassan, Mohammad Mehedi
Saleem, Kashif
Alabrah, Amerah
Rodrigues, Joel J. P. C.
author_sort AlSahly, Abdullah M.
collection PubMed
description The correlations between smartphone sensors, algorithms, and relevant techniques are major components facilitating indoor localization and tracking in the absence of communication and localization standards. A major research gap can be noted in terms of explaining the connections between these components to clarify the impacts and issues of models meant for indoor localization and tracking. In this paper, we comprehensively study the smartphone sensors, algorithms, and techniques that can support indoor localization and tracking without the need for any additional hardware or specific infrastructure. Reviews and comparisons detail the strengths and limitations of each component, following which we propose a handheld-device-based indoor localization with zero infrastructure (HDIZI) approach to connect the abovementioned components in a balanced manner. The sensors are the input source, while the algorithms are used as engines in an optimal manner, in order to produce a robust localizing and tracking model without requiring any further infrastructure. The proposed framework makes indoor and outdoor navigation more user-friendly, and is cost-effective for researchers working with embedded sensors in handheld devices, enabling technologies for Industry 4.0 and beyond. We conducted experiments using data collected from two different sites with five smartphones as an initial work. The data were sampled at 10 Hz for a duration of five seconds at fixed locations; furthermore, data were also collected while moving, allowing for analysis based on user stepping behavior and speed across multiple paths. We leveraged the capabilities of smartphones, through efficient implementation and the optimal integration of algorithms, in order to overcome the inherent limitations. Hence, the proposed HDIZI is expected to outperform approaches proposed in previous studies, helping researchers to deal with sensors for the purposes of indoor navigation—in terms of either positioning or tracking—for use in various fields, such as healthcare, transportation, environmental monitoring, or disaster situations.
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spelling pubmed-94608542022-09-10 Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI) AlSahly, Abdullah M. Hassan, Mohammad Mehedi Saleem, Kashif Alabrah, Amerah Rodrigues, Joel J. P. C. Sensors (Basel) Article The correlations between smartphone sensors, algorithms, and relevant techniques are major components facilitating indoor localization and tracking in the absence of communication and localization standards. A major research gap can be noted in terms of explaining the connections between these components to clarify the impacts and issues of models meant for indoor localization and tracking. In this paper, we comprehensively study the smartphone sensors, algorithms, and techniques that can support indoor localization and tracking without the need for any additional hardware or specific infrastructure. Reviews and comparisons detail the strengths and limitations of each component, following which we propose a handheld-device-based indoor localization with zero infrastructure (HDIZI) approach to connect the abovementioned components in a balanced manner. The sensors are the input source, while the algorithms are used as engines in an optimal manner, in order to produce a robust localizing and tracking model without requiring any further infrastructure. The proposed framework makes indoor and outdoor navigation more user-friendly, and is cost-effective for researchers working with embedded sensors in handheld devices, enabling technologies for Industry 4.0 and beyond. We conducted experiments using data collected from two different sites with five smartphones as an initial work. The data were sampled at 10 Hz for a duration of five seconds at fixed locations; furthermore, data were also collected while moving, allowing for analysis based on user stepping behavior and speed across multiple paths. We leveraged the capabilities of smartphones, through efficient implementation and the optimal integration of algorithms, in order to overcome the inherent limitations. Hence, the proposed HDIZI is expected to outperform approaches proposed in previous studies, helping researchers to deal with sensors for the purposes of indoor navigation—in terms of either positioning or tracking—for use in various fields, such as healthcare, transportation, environmental monitoring, or disaster situations. MDPI 2022-08-29 /pmc/articles/PMC9460854/ /pubmed/36080971 http://dx.doi.org/10.3390/s22176513 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
AlSahly, Abdullah M.
Hassan, Mohammad Mehedi
Saleem, Kashif
Alabrah, Amerah
Rodrigues, Joel J. P. C.
Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)
title Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)
title_full Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)
title_fullStr Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)
title_full_unstemmed Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)
title_short Handheld Device-Based Indoor Localization with Zero Infrastructure (HDIZI)
title_sort handheld device-based indoor localization with zero infrastructure (hdizi)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460854/
https://www.ncbi.nlm.nih.gov/pubmed/36080971
http://dx.doi.org/10.3390/s22176513
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