CAPASa Context-Aware System Architecture for Physical Activities Monitoring

  1. Paulo Ferreira 1
  2. Freitas, Leandro O. 1
  3. Henriques, Pedro Rangel 1
  4. Paulo Novais 1
  5. Juan Pavón 2
  1. 1 Universidade do Minho
    info

    Universidade do Minho

    Braga, Portugal

    ROR https://ror.org/037wpkx04

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Livre:
Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings
  1. Hilde Pérez García (coord.)
  2. Lidia Sánchez González (coord.)
  3. Manuel Castejón Limas (coord.)
  4. Héctor Quintián Pardo (coord.)
  5. Emilio Corchado Rodríguez (coord.)

Éditorial: Springer Suiza

ISBN: 978-3-030-29859-3,  978-3-030-29858-6

Année de publication: 2019

Pages: 636-647

Congreso: Hybrid Artificial Intelligent Systems (14. 2019. León)

Type: Communication dans un congrès

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Résumé

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.

La source de données: Dialnet