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Classification of Daily Activities for the Elderly Using Wearable Sensors
Monitoring of activities of daily living (ADL) using wearable sensors can provide an objective indication of the activity levels or restrictions experienced by patients or elderly. The current study presented a two-sensor ADL classification method designed and tested specifically with elderly subjec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727831/ https://www.ncbi.nlm.nih.gov/pubmed/29317996 http://dx.doi.org/10.1155/2017/8934816 |
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author | Liu, Jian Sohn, Jeehoon Kim, Sukwon |
author_facet | Liu, Jian Sohn, Jeehoon Kim, Sukwon |
author_sort | Liu, Jian |
collection | PubMed |
description | Monitoring of activities of daily living (ADL) using wearable sensors can provide an objective indication of the activity levels or restrictions experienced by patients or elderly. The current study presented a two-sensor ADL classification method designed and tested specifically with elderly subjects. Ten healthy elderly were involved in a laboratory testing with 6 types of daily activities. Two inertial measurement units were attached to the thigh and the trunk of each subject. The results indicated an overall rate of misdetection being 2.8%. The findings of the current study can be used as the first step towards a more comprehensive activity monitoring technology specifically designed for the aging population. |
format | Online Article Text |
id | pubmed-5727831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-57278312018-01-09 Classification of Daily Activities for the Elderly Using Wearable Sensors Liu, Jian Sohn, Jeehoon Kim, Sukwon J Healthc Eng Research Article Monitoring of activities of daily living (ADL) using wearable sensors can provide an objective indication of the activity levels or restrictions experienced by patients or elderly. The current study presented a two-sensor ADL classification method designed and tested specifically with elderly subjects. Ten healthy elderly were involved in a laboratory testing with 6 types of daily activities. Two inertial measurement units were attached to the thigh and the trunk of each subject. The results indicated an overall rate of misdetection being 2.8%. The findings of the current study can be used as the first step towards a more comprehensive activity monitoring technology specifically designed for the aging population. Hindawi 2017 2017-11-26 /pmc/articles/PMC5727831/ /pubmed/29317996 http://dx.doi.org/10.1155/2017/8934816 Text en Copyright © 2017 Jian Liu et al. http://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 Liu, Jian Sohn, Jeehoon Kim, Sukwon Classification of Daily Activities for the Elderly Using Wearable Sensors |
title | Classification of Daily Activities for the Elderly Using Wearable Sensors |
title_full | Classification of Daily Activities for the Elderly Using Wearable Sensors |
title_fullStr | Classification of Daily Activities for the Elderly Using Wearable Sensors |
title_full_unstemmed | Classification of Daily Activities for the Elderly Using Wearable Sensors |
title_short | Classification of Daily Activities for the Elderly Using Wearable Sensors |
title_sort | classification of daily activities for the elderly using wearable sensors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727831/ https://www.ncbi.nlm.nih.gov/pubmed/29317996 http://dx.doi.org/10.1155/2017/8934816 |
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