CAPAS: A Context-Aware System Architecture for Physical Activities Monitoring

被引：0

作者：

Ferreira, Paulo ^{[1
]}

Freitas, Leandro O. ^{[1
]}

Henriques, Pedro Rangel ^{[1
]}

Novais, Paulo ^{[1
]}

Pavon, Juan ^{[2
]}

机构：

[1] Univ Minho, ALGORITMI Ctr, Braga, Portugal

[2] Univ Complutense Madrid, Fac Informat, Madrid 28040, Spain

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2019 | 2019年 / 11734卷

关键词：

Attribute Grammar; Intelligent environment; Activity recognition; SENSORS;

D O I：

10.1007/978-3-030-29859-3_54

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：636 / 647

页数：12

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