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Monitoring domestic...
Monitoring domestic activities with temporal constraints and components
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- Cirillo, Marcello, 1978- (författare)
- Örebro universitet,Akademin för naturvetenskap och teknik,AASS
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- Lanzellotto, Federica (författare)
- Roma 3 University, Rome, Italy
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- Pecora, Federico, 1977- (författare)
- Örebro universitet,Akademin för naturvetenskap och teknik,AASS
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- Saffiotti, Alessandro, 1960- (författare)
- Örebro universitet,Akademin för naturvetenskap och teknik,AASS
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(creator_code:org_t)
- Amsterdam : IOS Press, 2009
- 2009
- Engelska.
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Ingår i: Intelligent environments 2009. - Amsterdam : IOS Press. - 9781607500346 ; , s. 117-124
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Intelligent environments
- activity recognition
- ubiquitous sensors
- planning
- temporal reasoning
- TECHNOLOGY
- TEKNIKVETENSKAP
- Information technology
- Informationsteknik
- Computer science
- Datavetenskap
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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