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A Context-Aware S-Health Service System for Drivers

As a stressful and sensitive task, driving can be disturbed by various factors from the health condition of the driver to the environmental variables of the vehicle. Continuous monitoring of driving hazards and providing the most appropriate business services to meet actual needs can guarantee safe...

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Detalles Bibliográficos
Autores principales: Chang, Jingkun, Yao, Wenbin, Li, Xiaoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375895/
https://www.ncbi.nlm.nih.gov/pubmed/28304330
http://dx.doi.org/10.3390/s17030609
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author Chang, Jingkun
Yao, Wenbin
Li, Xiaoyong
author_facet Chang, Jingkun
Yao, Wenbin
Li, Xiaoyong
author_sort Chang, Jingkun
collection PubMed
description As a stressful and sensitive task, driving can be disturbed by various factors from the health condition of the driver to the environmental variables of the vehicle. Continuous monitoring of driving hazards and providing the most appropriate business services to meet actual needs can guarantee safe driving and make great use of the existing information resources and business services. However, there is no in-depth research on the perception of a driver’s health status or the provision of customized business services in case of various hazardous situations. In order to constantly monitor the health status of the drivers and react to abnormal situations, this paper proposes a context-aware service system providing a configurable architecture for the design and implementation of the smart health service system for safe driving, which can perceive a driver’s health status and provide helpful services to the driver. With the context-aware technology to construct a smart health services system for safe driving, this is the first time that such a service system has been implemented in practice. Additionally, an assessment model is proposed to mitigate the impact of the acceptable abnormal status and, thus, reduce the unnecessary invocation of the services. With regard to different assessed situations, the business services can be invoked for the driver to adapt to hazardous situations according to the services configuration model, which can take full advantage of the existing information resources and business services. The evaluation results indicate that the alteration of the observed status in a valid time range T can be tolerated and the frequency of the service invocation can be reduced.
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spelling pubmed-53758952017-04-10 A Context-Aware S-Health Service System for Drivers Chang, Jingkun Yao, Wenbin Li, Xiaoyong Sensors (Basel) Article As a stressful and sensitive task, driving can be disturbed by various factors from the health condition of the driver to the environmental variables of the vehicle. Continuous monitoring of driving hazards and providing the most appropriate business services to meet actual needs can guarantee safe driving and make great use of the existing information resources and business services. However, there is no in-depth research on the perception of a driver’s health status or the provision of customized business services in case of various hazardous situations. In order to constantly monitor the health status of the drivers and react to abnormal situations, this paper proposes a context-aware service system providing a configurable architecture for the design and implementation of the smart health service system for safe driving, which can perceive a driver’s health status and provide helpful services to the driver. With the context-aware technology to construct a smart health services system for safe driving, this is the first time that such a service system has been implemented in practice. Additionally, an assessment model is proposed to mitigate the impact of the acceptable abnormal status and, thus, reduce the unnecessary invocation of the services. With regard to different assessed situations, the business services can be invoked for the driver to adapt to hazardous situations according to the services configuration model, which can take full advantage of the existing information resources and business services. The evaluation results indicate that the alteration of the observed status in a valid time range T can be tolerated and the frequency of the service invocation can be reduced. MDPI 2017-03-17 /pmc/articles/PMC5375895/ /pubmed/28304330 http://dx.doi.org/10.3390/s17030609 Text en © 2017 by the authors. 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
Chang, Jingkun
Yao, Wenbin
Li, Xiaoyong
A Context-Aware S-Health Service System for Drivers
title A Context-Aware S-Health Service System for Drivers
title_full A Context-Aware S-Health Service System for Drivers
title_fullStr A Context-Aware S-Health Service System for Drivers
title_full_unstemmed A Context-Aware S-Health Service System for Drivers
title_short A Context-Aware S-Health Service System for Drivers
title_sort context-aware s-health service system for drivers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375895/
https://www.ncbi.nlm.nih.gov/pubmed/28304330
http://dx.doi.org/10.3390/s17030609
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