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An approach to provide dynamic, illustrative, video-based guidance within a goal-driven smart home

Rafferty, Joseph, Nugent, Chris, Liu, Jun and Chen, Liming (2016) An approach to provide dynamic, illustrative, video-based guidance within a goal-driven smart home. Journal of Ambient Intelligence and Humanized Computing, 8 . pp. 1-12. [Journal article]

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URL: http://dx.doi.org/10.1007/s12652-016-0421-0

DOI: 10.1007/s12652-016-0421-0

Abstract

The 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.

Item Type:Journal article
Keywords:Smart home, Guidance, Video-processing, Metadata Generation, Activities of Daily Living, Ontology.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:36463
Deposited By: Mr Joseph Rafferty
Deposited On:22 Dec 2016 11:48
Last Modified:22 Dec 2016 11:48

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