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Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques
People have always relied on some form of instrument to assist them to get to their destination, from hand-drawn maps and compasses to technology-based navigation systems. Many individuals these days have a smartphone with them at all times, making it a common part of their routine. Using GPS techno...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010156/ https://www.ncbi.nlm.nih.gov/pubmed/35432829 http://dx.doi.org/10.1155/2022/1083978 |
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author | Kamalam, G. K. Joshi, Shubham Maheshwari, Manish Selvan, K. Senthamil Jamal, Sajjad Shaukat Vairaprakash, S. Alhassan, Musah |
author_facet | Kamalam, G. K. Joshi, Shubham Maheshwari, Manish Selvan, K. Senthamil Jamal, Sajjad Shaukat Vairaprakash, S. Alhassan, Musah |
author_sort | Kamalam, G. K. |
collection | PubMed |
description | People have always relied on some form of instrument to assist them to get to their destination, from hand-drawn maps and compasses to technology-based navigation systems. Many individuals these days have a smartphone with them at all times, making it a common part of their routine. Using GPS technology, these cellphones offer applications such as Google Maps that let people find their way around the outside world. Indoor navigation, on the other hand, does not offer the same level of precision. The development of indoor navigation systems is continuously ongoing. Bluetooth, Wi-Fi, RFID, and computer vision are some of the existing technologies used for interior navigation in current systems. In this article, we discuss the shortcomings of current indoor navigation solutions and offer an alternative approach based on augmented reality and ARCore. Navigating an indoor environment is made easier with ARCore, which brings augmented reality to your smartphone or tablet. |
format | Online Article Text |
id | pubmed-9010156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90101562022-04-15 Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques Kamalam, G. K. Joshi, Shubham Maheshwari, Manish Selvan, K. Senthamil Jamal, Sajjad Shaukat Vairaprakash, S. Alhassan, Musah J Healthc Eng Research Article People have always relied on some form of instrument to assist them to get to their destination, from hand-drawn maps and compasses to technology-based navigation systems. Many individuals these days have a smartphone with them at all times, making it a common part of their routine. Using GPS technology, these cellphones offer applications such as Google Maps that let people find their way around the outside world. Indoor navigation, on the other hand, does not offer the same level of precision. The development of indoor navigation systems is continuously ongoing. Bluetooth, Wi-Fi, RFID, and computer vision are some of the existing technologies used for interior navigation in current systems. In this article, we discuss the shortcomings of current indoor navigation solutions and offer an alternative approach based on augmented reality and ARCore. Navigating an indoor environment is made easier with ARCore, which brings augmented reality to your smartphone or tablet. Hindawi 2022-04-07 /pmc/articles/PMC9010156/ /pubmed/35432829 http://dx.doi.org/10.1155/2022/1083978 Text en Copyright © 2022 G. K. Kamalam et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kamalam, G. K. Joshi, Shubham Maheshwari, Manish Selvan, K. Senthamil Jamal, Sajjad Shaukat Vairaprakash, S. Alhassan, Musah Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques |
title | Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques |
title_full | Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques |
title_fullStr | Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques |
title_full_unstemmed | Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques |
title_short | Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques |
title_sort | augmented reality-centered position navigation for wearable devices with machine learning techniques |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010156/ https://www.ncbi.nlm.nih.gov/pubmed/35432829 http://dx.doi.org/10.1155/2022/1083978 |
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