Context-aware real-time assistant architecture for pervasive healthcare

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dc.contributor.advisor Herbert, John en
dc.contributor.author Yuan, Bingchuan
dc.date.accessioned 2015-11-03T13:14:39Z
dc.date.available 2015-11-03T13:14:39Z
dc.date.issued 2014
dc.date.submitted 2014
dc.identifier.citation Yuan, B. 2014. Context-aware real-time assistant architecture for pervasive healthcare. PhD Thesis, University College Cork. en
dc.identifier.endpage 206
dc.identifier.uri http://hdl.handle.net/10468/2021
dc.description.abstract The aging population in many countries brings into focus rising healthcare costs and pressure on conventional healthcare services. Pervasive healthcare has emerged as a viable solution capable of providing a technology-driven approach to alleviate such problems by allowing healthcare to move from the hospital-centred care to self-care, mobile care, and at-home care. The state-of-the-art studies in this field, however, lack a systematic approach for providing comprehensive pervasive healthcare solutions from data collection to data interpretation and from data analysis to data delivery. In this thesis we introduce a Context-aware Real-time Assistant (CARA) architecture that integrates novel approaches with state-of-the-art technology solutions to provide a full-scale pervasive healthcare solution with the emphasis on context awareness to help maintaining the well-being of elderly people. CARA collects information about and around the individual in a home environment, and enables accurately recognition and continuously monitoring activities of daily living. It employs an innovative reasoning engine to provide accurate real-time interpretation of the context and current situation assessment. Being mindful of the use of the system for sensitive personal applications, CARA includes several mechanisms to make the sophisticated intelligent components as transparent and accountable as possible, it also includes a novel cloud-based component for more effective data analysis. To deliver the automated real-time services, CARA supports interactive video and medical sensor based remote consultation. Our proposal has been validated in three application domains that are rich in pervasive contexts and real-time scenarios: (i) Mobile-based Activity Recognition, (ii) Intelligent Healthcare Decision Support Systems and (iii) Home-based Remote Monitoring Systems. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher University College Cork en
dc.rights © 2014, Bingchuan Yuan. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/ en
dc.subject CARA en
dc.subject Context-awareness en
dc.subject WSN en
dc.subject Pervasive healthcare en
dc.subject Activity recognition en
dc.subject Reasoning system en
dc.subject Remote monitoring en
dc.title Context-aware real-time assistant architecture for pervasive healthcare en
dc.type Doctoral thesis en
dc.type.qualificationlevel Doctoral en
dc.type.qualificationname PhD (Science) en
dc.internal.availability Full text available en
dc.check.info No embargo required en
dc.description.version Accepted Version
dc.contributor.funder Science Foundation Ireland en
dc.description.status Not peer reviewed en
dc.internal.school Computer Science en
dc.check.type No Embargo Required
dc.check.reason No embargo required en
dc.check.opt-out Not applicable en
dc.thesis.opt-out false
dc.check.embargoformat Not applicable en
ucc.workflow.supervisor j.herbert@cs.ucc.ie
dc.internal.conferring Spring Conferring 2015


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© 2014, Bingchuan Yuan. Except where otherwise noted, this item's license is described as © 2014, Bingchuan Yuan.
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