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dc.contributor.authorRafferty, Josephen
dc.contributor.authorNugent, Chrisen
dc.contributor.authorLiu, J.en
dc.contributor.authorChen, Limingen
dc.date.accessioned2018-03-05T13:27:26Z
dc.date.available2018-03-05T13:27:26Z
dc.date.issued2015-11
dc.identifier.citationRafferty, J., Nugent, C., Liu, J., Chen, L. (2015) A Mechanism for Nominating Video Clips to Provide Assistance for Instrumental Activities of Daily Living. In: Cleland, I., Guerrero, L., Bravo, J. (eds.) Ambient Assisted Living. ICT-based Solutions in Real Life Situations. Lecture Notes in Computer Science, 9455. Berlin: Springer.en
dc.identifier.issn9783319264097
dc.identifier.urihttp://hdl.handle.net/2086/15341
dc.description.abstractCurrent assistive smart homes have adopted a relatively rigid approach to modeling activities. The use of these activity models have introduced factors which block adoption of smart home technology. To address this, goal driven smart homes have been proposed, these are based upon more flexible activity structures. However, this goal-driven approach does have a disadvantage where flexibility in this activity modeling can lead to difficulty providing illustrative guidance. To address this, a video analysis and nomination mechanism is required to provide suitable assistive clips for a given goal. This paper introduces a novel mechanism for nominating a suitable video clip given a pool of automatically generated metadata. This mechanism was then evaluated using a voice based assistant application and a tool emulating assistance requests by a goal-driven smart home. The initial evaluation produced promising results.en
dc.language.isoenen
dc.publisherSpringeren
dc.subjectAnnotationen
dc.subjectAutomated speech recognitionen
dc.subjectAssistive livingen
dc.subjectGuidanceen
dc.subjectParsingen
dc.subjectOntologySemantic weben
dc.subjectSmart environmentsen
dc.subjectVideoen
dc.subjectVocal interactionen
dc.titleA mechanism for nominating video clips to provide assistance for instrumental activities of daily livingen
dc.typeBook chapteren
dc.identifier.doihttps://doi.org/10.1007/978-3-319-26410-3_7
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2015-11-21en
dc.researchinstituteCyber Technology Institute (CTI)en


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