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Monitoring domestic activities with temporal constraints and components
Örebro universitet, Akademin för naturvetenskap och teknik. (AASS)
Roma 3 University, Rome, Italy.
Örebro universitet, Akademin för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-9652-7864
Örebro universitet, Akademin för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0001-8229-1363
2009 (engelsk)Inngår i: Intelligent environments 2009 / [ed] V. Callaghan, A. Kameas, A. Reyes, D. Royo, M. Weber, Amsterdam: IOS Press, 2009, s. 117-124Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Intelligent environments are increasingly rich in ubiquitous sensing capabilities that can be leveraged to know which actions a user is engaged in at any given moment in time. The ability of an intelligent environment to recognize a high-level plan of activities performed by the user in a smart home would allow to construct proactive services, such as reminding, forecasting and providing timely physical support. This article proposes an approach to human activity recognition based on temporal planning. The approach leverages on one hand the ubiquitous sensors provided by the PEIS-Home, a sensor-rich intelligent environment, and, on the other hand, the temporal representation and reasoning capabilities of OMPS, a constraint-based temporal planning and scheduling framework.

sted, utgiver, år, opplag, sider
Amsterdam: IOS Press, 2009. s. 117-124
Serie
Ambient Intelligence and Smart Environments, ISSN 1875-4163 ; 2
Emneord [en]
Intelligent environments, activity recognition, ubiquitous sensors, planning, temporal reasoning
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-7848ISI: 000274139700015ISBN: 978-1-60750-034-6 (tryckt)OAI: oai:DiVA.org:oru-7848DiVA, id: diva2:234442
Konferanse
5th International Conference on Intelligent Environments, Barcelona, SPAIN, 2009
Tilgjengelig fra: 2009-09-08 Laget: 2009-09-08 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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Cirillo, MarcelloPecora, FedericoSaffiotti, Alessandro

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