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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...

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Detalles Bibliográficos
Autores principales: Liu, Jian, Sohn, Jeehoon, Kim, Sukwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
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.
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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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