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Detecting Activities of Daily Living Using the CONSERT Engine

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Book cover Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence (ISAmI2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 806))

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Abstract

Context-awareness is central to many applications in Ambient Intelligence. The paper presents the functionality of a context reasoning engine, called CONSERT, for developing ambient intelligence applications, which builds on semantic complex event processing. The implementation of core rule processing using the DROOLS Fusion framework and the advantages gained through this approach are discussed. The resulting engine capabilities are presented for the case of recognizing activities of daily living (ADL) contained in the CASAS dataset, together with an evaluation of the obtained results.

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Notes

  1. 1.

    http://drools.jboss.org/drools-fusion.html.

  2. 2.

    https://jena.apache.org/documentation/tdb/.

  3. 3.

    https://www.drools.org/.

  4. 4.

    GitHub link to CONSERT Model implementation: https://goo.gl/jWavX5.

  5. 5.

    https://rdfbeans.github.io/index.html.

  6. 6.

    Rules used in the CASAS ADL Normal dataset evaluation: https://goo.gl/A8zkL2.

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Acknowledgement

This research was supported by the national grant PN-III-P2-2.1- 34PED.

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Authors and Affiliations

  1. University Politehnica of Bucharest, Bucharest, Romania

    Mihai Trăscău, Alexandru Sorici & Adina Florea

Authors
  1. Mihai Trăscău
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  2. Alexandru Sorici
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  3. Adina Florea
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Corresponding author

Correspondence to Alexandru Sorici .

Editor information

Editors and Affiliations

  1. ALGORITMI Centre/Departamento de Informatica, University of Minho, Braga, Portugal

    Paulo Novais

  2. Department of Computer Engineering, Chung-Ang University, South Korea, Korea (Republic of)

    Jason J. Jung

  3. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Gabriel Villarrubia González

  4. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

  5. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Albacete, Spain

    Elena Navarro

  6. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, Albacete, Spain

    Pascual González

  7. Instituto Politécnico do Porto, Escola Superior de Tecnologia e Gestão, Felgueiras, Portugal

    Davide Carneiro

  8. ESTG, Politécnico do Porto and CRACS & INESC TEC, Porto, Portugal

    António Pinto

  9. Department of Computer Science, Dartmouth College, Hanover, NH, USA

    Andrew T. Campbell

  10. Department of Artificial Intelligence, Technical University of Madrid, Madrid, Spain

    Dalila Durães

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Trăscău, M., Sorici, A., Florea, A. (2019). Detecting Activities of Daily Living Using the CONSERT Engine. In: Novais, P., et al. Ambient Intelligence – Software and Applications –, 9th International Symposium on Ambient Intelligence. ISAmI2018 2018. Advances in Intelligent Systems and Computing, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-030-01746-0_11

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