Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/68099
Título: | CAPAS: A context-aware system architecture for physical activities monitoring |
Autor(es): | Ferreira, Paulo Freitas, Leandro O. Henriques, Pedro Rangel Novais, Paulo Pavón, Juan |
Palavras-chave: | Activity recognition Attribute Grammar Intelligent environment |
Data: | Jan-2019 |
Editora: | Springer Verlag |
Revista: | Lecture 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/68099 |
ISBN: | 9783030298586 |
DOI: | 10.1007/978-3-030-29859-3_54 |
ISSN: | 0302-9743 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-29859-3_54 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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HAIS 2019.pdf | 375,65 kB | Adobe PDF | Ver/Abrir |