From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes

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dc.contributor.author Rafferty, Joseph en
dc.contributor.author Nugent, Chris en
dc.contributor.author Liu, Jun en
dc.contributor.author Chen, Liming en
dc.date.accessioned 2017-03-08T09:47:00Z
dc.date.available 2017-03-08T09:47:00Z
dc.date.issued 2017-01-05
dc.identifier.citation Rafferty, J et al. (2017) From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes. IEEE Transactions on Human-Machine Systems, 47 (3), pp. 368-379 en
dc.identifier.issn 2168-2291
dc.identifier.uri http://hdl.handle.net/2086/13456
dc.description The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. en
dc.description.abstract The global population is aging; projections show that by 2050, more than 20% of the population will be aged over 64. This will lead to an increase in aging related illness, a decrease in informal support, and ultimately issues with providing care for these individuals. Assistive smart homes provide a promising solution to some of these issues. Nevertheless, they currently have issues hindering their adoption. To help address some of these issues, this study introduces a novel approach to implementing assistive smart homes. The devised approach is based upon an intention recognition mechanism incorporated into an intelligent agent architecture. This approach is detailed and evaluated. Evaluation was performed across three scenarios. Scenario 1 involved a web interface, focusing on testing the intention recognition mechanism. Scenarios 2 and 3 involved retrofitting a home with sensors and providing assistance with activities over a period of 3 months. The average accuracy for these three scenarios was 100%, 64.4%, and 83.3%, respectively. Future will extend and further evaluate this approach by implementing advanced sensor-filtering rules and evaluating more complex activities. en
dc.publisher IEEE Transactions on Human-Machine Systems en
dc.subject Intelligent agents en
dc.subject Activity recognition en
dc.subject Smart homes en
dc.subject Hidden Markov models en
dc.subject Aging en
dc.subject Intelligent sensors en
dc.title From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1109/THMS.2016.2641388
dc.peerreviewed Yes en
dc.funder N/A en
dc.projectid N/A en
dc.cclicence CC-BY-ND en
dc.date.acceptance 2017-01-05 en


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