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Hybrid-Aware Model for Senior Wellness Service in Smart Home
Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monito...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470927/ https://www.ncbi.nlm.nih.gov/pubmed/28531157 http://dx.doi.org/10.3390/s17051182 |
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author | Jung, Yuchae |
author_facet | Jung, Yuchae |
author_sort | Jung, Yuchae |
collection | PubMed |
description | Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors—such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)—were used for monitoring movements of seniors. For context-awareness, environmental sensors—such as gas, fire, smoke, dust, temperature, and light sensors—were used for senior location data collection. Based on senior activity, senior health status can be classified into positive and negative. Based on senior location and time, senior safety is classified into safe and emergency. In this paper, we propose a hybrid inspection service middleware for monitoring elderly health risk based on senior activity and location. This hybrid-aware model for the detection of abnormal status of seniors has four steps as follows: (1) data collection from biosensors and environmental sensors; (2) monitoring senior location and time of stay in each location using environmental sensors; (3) monitoring senior activity using biometric data; finally, (4) expectation-maximization based decision-making step recommending proper treatment based on a senior health risk ratio. |
format | Online Article Text |
id | pubmed-5470927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54709272017-06-16 Hybrid-Aware Model for Senior Wellness Service in Smart Home Jung, Yuchae Sensors (Basel) Article Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors—such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)—were used for monitoring movements of seniors. For context-awareness, environmental sensors—such as gas, fire, smoke, dust, temperature, and light sensors—were used for senior location data collection. Based on senior activity, senior health status can be classified into positive and negative. Based on senior location and time, senior safety is classified into safe and emergency. In this paper, we propose a hybrid inspection service middleware for monitoring elderly health risk based on senior activity and location. This hybrid-aware model for the detection of abnormal status of seniors has four steps as follows: (1) data collection from biosensors and environmental sensors; (2) monitoring senior location and time of stay in each location using environmental sensors; (3) monitoring senior activity using biometric data; finally, (4) expectation-maximization based decision-making step recommending proper treatment based on a senior health risk ratio. MDPI 2017-05-22 /pmc/articles/PMC5470927/ /pubmed/28531157 http://dx.doi.org/10.3390/s17051182 Text en © 2017 by the author. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jung, Yuchae Hybrid-Aware Model for Senior Wellness Service in Smart Home |
title | Hybrid-Aware Model for Senior Wellness Service in Smart Home |
title_full | Hybrid-Aware Model for Senior Wellness Service in Smart Home |
title_fullStr | Hybrid-Aware Model for Senior Wellness Service in Smart Home |
title_full_unstemmed | Hybrid-Aware Model for Senior Wellness Service in Smart Home |
title_short | Hybrid-Aware Model for Senior Wellness Service in Smart Home |
title_sort | hybrid-aware model for senior wellness service in smart home |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470927/ https://www.ncbi.nlm.nih.gov/pubmed/28531157 http://dx.doi.org/10.3390/s17051182 |
work_keys_str_mv | AT jungyuchae hybridawaremodelforseniorwellnessserviceinsmarthome |