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Inferring Human Situation using Proximity to Smart Objects
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Human proximity tracking and human situation inference are exploited for comprehending human interaction with objects in kitchen. The importance of this study is to offer interactive and personalized kitchen environment for elderly and disabled people. Also, this smart environment allows for independent living for elderly and disabled people. This study proposes human proximity tracking and inferring human situation in smart environment. A precision of 100% and a recall of 65.22% were obtained from the result of proximity tracking. The result of precision indicates that human proximity tracking works accurately in kitchen environment. Interms of human situation inference, the result of accuracy of fuzzy logic system was obtained as above 96% precision in each situative space model set, except recognizable set. This result shows that system works well with a few exceptions in relation to human situation inference.

Place, publisher, year, edition, pages
2013.
Series
UMNAD, 940
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-73170OAI: oai:DiVA.org:umu-73170DiVA: diva2:630149
Educational program
Master's Programme in Computing Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-06-18 Created: 2013-06-18 Last updated: 2013-06-18Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf