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dc.contributor.authorRafferty, Josephen
dc.contributor.authorNugent, Chrisen
dc.contributor.authorLiu, Junen
dc.contributor.authorChen, Limingen
dc.date.accessioned2017-03-15T14:17:50Z
dc.date.available2017-03-15T14:17:50Z
dc.date.issued2016-10-27
dc.identifier.citationRafferty, J., Nugent, C., Liu, J. et al. (2016) An approach to provide dynamic, illustrative, video-based guidance within a goal-driven smart home. Journal of Ambient Intelligence and Humanized Computingen
dc.identifier.issn1868-5137
dc.identifier.urihttp://hdl.handle.net/2086/13612
dc.description.abstractThe global population is aging in a never-before seen way, introducing an increasing ageing-related cognitive ailments, such as dementia. This aging is coupled with a reduction in the global support ratio, reducing the availability of formal and informal support and therefore capacity to care for those suffering these aging related ailments. Assistive Smart Homes (SH) are a promising form of technology enabling assistance with activities of daily living, providing support of suffers of cognitive ailments and increasing their independence and quality of life. Traditional SH systems have deficiencies that have been partially addressed by through goal-driven SH systems. Goal-driven SHs incorporate flexible activity models, goals, which partially address some of these issues. Goals may be combined to provide assistance with dynamic and variable activities. This paradigm-shift, however, introduces the need to provide dynamic assistance within such SHs. This study presents a novel approach to achieve this through video based content analysis and a mechanism to facilitate matching analysed videos to dynamic activities/goals. The mechanism behind this approach is detailed and followed by the presentation of an evaluation where showing promising results were shown.en
dc.publisherSpringeren
dc.titleAn approach to provide dynamic, illustrative, video-based guidance within a goal-driven smart homeen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1007/s12652-016-0421-0
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceN/Aen
dc.exception.reasonOutput not deposited within 3 months of publication. Output on Ulster University repositoryen
dc.researchinstituteCyber Technology Institute (CTI)en


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