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

TítuloCAPAS: A context-aware system architecture for physical activities monitoring
Autor(es)Ferreira, Paulo
Freitas, Leandro O.
Henriques, Pedro Rangel
Novais, Paulo
Pavón, Juan
Palavras-chaveActivity recognition
Attribute Grammar
Intelligent environment
DataJan-2019
EditoraSpringer Verlag
RevistaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resumo(s)Attribute 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.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/68099
ISBN9783030298586
DOI10.1007/978-3-030-29859-3_54
ISSN0302-9743
Versão da editorahttps://link.springer.com/chapter/10.1007%2F978-3-030-29859-3_54
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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