Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68099

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dc.contributor.authorFerreira, Paulopor
dc.contributor.authorFreitas, Leandro O.por
dc.contributor.authorHenriques, Pedro Rangelpor
dc.contributor.authorNovais, Paulopor
dc.contributor.authorPavón, Juanpor
dc.date.accessioned2020-11-10T10:44:00Z-
dc.date.available2020-11-10T10:44:00Z-
dc.date.issued2019-01-
dc.identifier.isbn9783030298586por
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/68099-
dc.description.abstractAttribute grammars are widely used by compiler-generators since it allows complete specifications of static semantics. They can also be applied to other fields of research, for instance, to human activities recognition. This paper aims to present CAPAS, a Context-aware system Architecture to monitor Physical ActivitieS. One of the components that is present in the architecture is the attribute grammar which is filled after the prediction is made according to the data gathered from the user through the sensors. According to some predefined rules, the physical activity is validated after an analysis on the attribute grammar, if it meets those requirements. Besides that it proposes an attribute grammar itself which should be able to be incorporated in a system in order to validate the performed physical activity.por
dc.description.sponsorshipThis work has been supported by FCT – Fundação˜ para a Ciência e Tecnologia within the Project Scope: ˆ UID/CEC/00319/2019.por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationUID/CEC/00319/2019por
dc.rightsopenAccesspor
dc.subjectActivity recognitionpor
dc.subjectAttribute Grammarpor
dc.subjectIntelligent environmentpor
dc.titleCAPAS: A context-aware system architecture for physical activities monitoringpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-29859-3_54por
oaire.citationStartPage636por
oaire.citationEndPage647por
oaire.citationVolume11734 LNAIpor
dc.date.updated2020-11-10T10:39:45Z-
dc.identifier.doi10.1007/978-3-030-29859-3_54por
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technologypor
sdum.export.identifier7498-
sdum.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationHYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2019por
oaire.versionAMpor
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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