Please use this identifier to cite or link to this item: https://doi.org/10.1109/JSAC.2009.090513
Title: Context-aware middleware for pervasive elderly homecare
Authors: Pung, H. 
Gu, T.
Xue, W. 
Palmes, P. 
Zhu, J.
Ng, W. 
Tang, C. 
Chung, N. 
Keywords: Context-awareness, pervasive homecare, middleware, query processing, activity recognition, peer-to-peer, service-oriented architecture
Issue Date: 2009
Source: Pung, H., Gu, T., Xue, W., Palmes, P., Zhu, J., Ng, W., Tang, C., Chung, N. (2009). Context-aware middleware for pervasive elderly homecare. IEEE Journal on Selected Areas in Communications 27 (4) : 510-524. ScholarBank@NUS Repository. https://doi.org/10.1109/JSAC.2009.090513
Abstract: The growing aging population faces a number of challenges, including rising medical cost, inadequate number of medical doctors and healthcare professionals, as well as higher incidence of misdiagnosis. There is an increasing demand for a better healthcare support for the elderly and one promising solution is the development of a context-aware middleware infrastructure for pervasive health/wellness-care. This allows the accurate and timely delivery of health/medical information among the patients, doctors and healthcare workers through a widespread deployment of wireless sensor networks and mobile devices. In this paper, we present our design and implementation of such a Context-Aware Middleware for Pervasive Homecare (CAMPH). The middleware offers several key-enabling system services that consist of P2P-based context query processing, context reasoning for activity recognition and context-aware service management. It can be used to support the development and deployment of various homecare services for the elderly such as patient monitoring, location-based emergency response, anomalous daily activity detection, pervasive access to medical data and social networking. We have developed a prototype of the middleware and demonstrated the concept of providing a continuing-care to an elderly with the collaborative interactions spanning multiple physical spaces: person, home, office and clinic. The results of the prototype show that our middleware approach achieves good efficiency of context query processing and good accuracy of activity recognition. © 2006 IEEE.
Source Title: IEEE Journal on Selected Areas in Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/39311
ISSN: 07338716
DOI: 10.1109/JSAC.2009.090513
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