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Analysis on the Subdivision of Skilled Mowing Movements on Slopes †
Owing to the aging of the rural population in the hilly and mountainous areas of Japan, mowing on narrow ridges and steep slopes is done manually by the elderly—individuals over 65 years of age. Studies have shown that many accidents that occurred during mowing were caused by workers’ unstable postu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963001/ https://www.ncbi.nlm.nih.gov/pubmed/35214274 http://dx.doi.org/10.3390/s22041372 |
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author | Wu, Bo Wu, Yuan Nishimura, Shoji Jin, Qun |
author_facet | Wu, Bo Wu, Yuan Nishimura, Shoji Jin, Qun |
author_sort | Wu, Bo |
collection | PubMed |
description | Owing to the aging of the rural population in the hilly and mountainous areas of Japan, mowing on narrow ridges and steep slopes is done manually by the elderly—individuals over 65 years of age. Studies have shown that many accidents that occurred during mowing were caused by workers’ unstable posture, especially when mowing on steep surfaces where there is a high risk of falling. It is necessary to analyze the body movements of mowing workers to elucidate the elements related to the risk of falls. Therefore, in this study, based on a high-precision motion-capture device and a series of experiments with elderly, skilled mowing workers, we focused on the movements of mowing. We sought to identify effective and safe mowing patterns and the factors that lead to the risk of falls. In various mowing styles, compared to the stride (S) and downward (D) mowing patterns, the basic (B) and moving (M) patterns were the most efficient; however, the risk of falls was also the highest among these patterns. While mowing, workers need to pay more attention to their arm strength and take appropriate measures to reduce the risk of falls according to their age and physique. The results can be used as data for the development of fall-detection systems and offer useful insights for the training of new mowing workers. |
format | Online Article Text |
id | pubmed-8963001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89630012022-03-30 Analysis on the Subdivision of Skilled Mowing Movements on Slopes † Wu, Bo Wu, Yuan Nishimura, Shoji Jin, Qun Sensors (Basel) Article Owing to the aging of the rural population in the hilly and mountainous areas of Japan, mowing on narrow ridges and steep slopes is done manually by the elderly—individuals over 65 years of age. Studies have shown that many accidents that occurred during mowing were caused by workers’ unstable posture, especially when mowing on steep surfaces where there is a high risk of falling. It is necessary to analyze the body movements of mowing workers to elucidate the elements related to the risk of falls. Therefore, in this study, based on a high-precision motion-capture device and a series of experiments with elderly, skilled mowing workers, we focused on the movements of mowing. We sought to identify effective and safe mowing patterns and the factors that lead to the risk of falls. In various mowing styles, compared to the stride (S) and downward (D) mowing patterns, the basic (B) and moving (M) patterns were the most efficient; however, the risk of falls was also the highest among these patterns. While mowing, workers need to pay more attention to their arm strength and take appropriate measures to reduce the risk of falls according to their age and physique. The results can be used as data for the development of fall-detection systems and offer useful insights for the training of new mowing workers. MDPI 2022-02-10 /pmc/articles/PMC8963001/ /pubmed/35214274 http://dx.doi.org/10.3390/s22041372 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 Wu, Bo Wu, Yuan Nishimura, Shoji Jin, Qun Analysis on the Subdivision of Skilled Mowing Movements on Slopes † |
title | Analysis on the Subdivision of Skilled Mowing Movements on Slopes † |
title_full | Analysis on the Subdivision of Skilled Mowing Movements on Slopes † |
title_fullStr | Analysis on the Subdivision of Skilled Mowing Movements on Slopes † |
title_full_unstemmed | Analysis on the Subdivision of Skilled Mowing Movements on Slopes † |
title_short | Analysis on the Subdivision of Skilled Mowing Movements on Slopes † |
title_sort | analysis on the subdivision of skilled mowing movements on slopes † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963001/ https://www.ncbi.nlm.nih.gov/pubmed/35214274 http://dx.doi.org/10.3390/s22041372 |
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