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https://hdl.handle.net/1822/68099
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Campo DC | Valor | Idioma |
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dc.contributor.author | Ferreira, Paulo | por |
dc.contributor.author | Freitas, Leandro O. | por |
dc.contributor.author | Henriques, Pedro Rangel | por |
dc.contributor.author | Novais, Paulo | por |
dc.contributor.author | Pavón, Juan | por |
dc.date.accessioned | 2020-11-10T10:44:00Z | - |
dc.date.available | 2020-11-10T10:44:00Z | - |
dc.date.issued | 2019-01 | - |
dc.identifier.isbn | 9783030298586 | por |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/1822/68099 | - |
dc.description.abstract | 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. | por |
dc.description.sponsorship | This work has been supported by FCT – Fundação˜ para a Ciência e Tecnologia within the Project Scope: ˆ UID/CEC/00319/2019. | por |
dc.language.iso | eng | por |
dc.publisher | Springer Verlag | por |
dc.relation | UID/CEC/00319/2019 | por |
dc.rights | openAccess | por |
dc.subject | Activity recognition | por |
dc.subject | Attribute Grammar | por |
dc.subject | Intelligent environment | por |
dc.title | CAPAS: A context-aware system architecture for physical activities monitoring | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-29859-3_54 | por |
oaire.citationStartPage | 636 | por |
oaire.citationEndPage | 647 | por |
oaire.citationVolume | 11734 LNAI | por |
dc.date.updated | 2020-11-10T10:39:45Z | - |
dc.identifier.doi | 10.1007/978-3-030-29859-3_54 | por |
dc.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | por |
dc.subject.wos | Science & Technology | por |
sdum.export.identifier | 7498 | - |
sdum.journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | por |
sdum.conferencePublication | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2019 | por |
oaire.version | AM | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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HAIS 2019.pdf | 375,65 kB | Adobe PDF | Ver/Abrir |