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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-73170 |
| Date | January 2013 |
| Creators | Baydan, Berker |
| Publisher | Umeå universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UMNAD ; 940 |
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