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Utilising LiDAR for fall detection

Autonomous driving generates several low‐cost technologies, such as light detection and ranging (LiDAR). Due to this, the LiDAR technology has experienced impressive performance improvements. Our ambition is to capitalise on this development, where LiDAR is considered as the enabling technology for...

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Detalles Bibliográficos
Autores principales: Frøvik, Nikolai, Malekzai, Bashir A., Øvsthus, Knut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916984/
https://www.ncbi.nlm.nih.gov/pubmed/33680479
http://dx.doi.org/10.1049/htl2.12001
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author Frøvik, Nikolai
Malekzai, Bashir A.
Øvsthus, Knut
author_facet Frøvik, Nikolai
Malekzai, Bashir A.
Øvsthus, Knut
author_sort Frøvik, Nikolai
collection PubMed
description Autonomous driving generates several low‐cost technologies, such as light detection and ranging (LiDAR). Due to this, the LiDAR technology has experienced impressive performance improvements. Our ambition is to capitalise on this development, where LiDAR is considered as the enabling technology for a non‐invasive monitoring system for securing elder persons in their home. A motivation for technology‐based securing of elder persons is that many countries experience a demographic change. Traditional personal care by care worker or re‐location to special homes of elder persons does not scale due to the shrinking fraction of the working population. Technology can reduce some of the burden. This article proposes and assesses technology for securing a person's home. However, securing a person, based on monitoring, requires careful design because the technology should be non‐invasive, reliable and low cost. LiDAR technology offers several crucial qualities that meet these system requirements. This article provides a proof of concept for a low‐cost, non‐invasive LiDAR‐based monitoring system. Our proposed system can detect if a person has fallen, and it can trigger an alarm to the care services when required. We emphasise especially that our monitoring solution can operate in the bathroom and even in the shower.
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spelling pubmed-79169842021-03-05 Utilising LiDAR for fall detection Frøvik, Nikolai Malekzai, Bashir A. Øvsthus, Knut Healthc Technol Lett Letters Autonomous driving generates several low‐cost technologies, such as light detection and ranging (LiDAR). Due to this, the LiDAR technology has experienced impressive performance improvements. Our ambition is to capitalise on this development, where LiDAR is considered as the enabling technology for a non‐invasive monitoring system for securing elder persons in their home. A motivation for technology‐based securing of elder persons is that many countries experience a demographic change. Traditional personal care by care worker or re‐location to special homes of elder persons does not scale due to the shrinking fraction of the working population. Technology can reduce some of the burden. This article proposes and assesses technology for securing a person's home. However, securing a person, based on monitoring, requires careful design because the technology should be non‐invasive, reliable and low cost. LiDAR technology offers several crucial qualities that meet these system requirements. This article provides a proof of concept for a low‐cost, non‐invasive LiDAR‐based monitoring system. Our proposed system can detect if a person has fallen, and it can trigger an alarm to the care services when required. We emphasise especially that our monitoring solution can operate in the bathroom and even in the shower. John Wiley and Sons Inc. 2021-01-20 /pmc/articles/PMC7916984/ /pubmed/33680479 http://dx.doi.org/10.1049/htl2.12001 Text en © 2021 The Authors. Healthcare Technology Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letters
Frøvik, Nikolai
Malekzai, Bashir A.
Øvsthus, Knut
Utilising LiDAR for fall detection
title Utilising LiDAR for fall detection
title_full Utilising LiDAR for fall detection
title_fullStr Utilising LiDAR for fall detection
title_full_unstemmed Utilising LiDAR for fall detection
title_short Utilising LiDAR for fall detection
title_sort utilising lidar for fall detection
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916984/
https://www.ncbi.nlm.nih.gov/pubmed/33680479
http://dx.doi.org/10.1049/htl2.12001
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