| Title |
Health and emergency-care platform for the elderly and disabled people in the Smart City |
| ID_Doc |
38725 |
| Authors |
Hussain, A; Wenbi, R; da Silva, AL; Nadher, M; Mudhish, M |
| Title |
Health and emergency-care platform for the elderly and disabled people in the Smart City |
| Year |
2015 |
| Published |
|
| DOI |
10.1016/j.jss.2015.08.041 |
| Abstract |
Emergence of context-aware technologies and IoT devices reflect that the quality of a human life has become one of the most essential aspects in Smart Cities. With this goal health monitoring of elderly and disabled people have got plenty of attention and focus in the research. The healthcare systems rely on the components responsible for context sensing, processing, storage and inference, and response. In order to make the interoperability among the various healthcare systems, a typical standard is needed in order to uniformly access the context-aware healthcare information coming through a fundamental infrastructure. In this paper, we propose people-centric sensing framework for the healthcare of elderly and disabled people. Such platform is aimed to monitor health of the elderly and disabled person and provide them with a service oriented emergency response in case of abnormal health condition. We focus on three aspects: (a) context manipulation from the mobile device in people-centric environment; (b) emergency response using context base information; and (c) modeling mobile context sources as services. The most distinctive feature of current work is that medical resources are efficiently used to provide them real-time medical services in case of emergency simultaneously extending social network of the elderly people. The system implementation shows that the proposed people-centric sensing system is efficient and cost-effective in health and emergency care. (c) 2015 Elsevier Inc. All rights reserved. |
| Author Keywords |
Healthcare; Internet of Things; People-centric sensing; Wireless body sensor network; Smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000364244600015 |
| WoS Category |
Computer Science, Software Engineering; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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