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Activity Recognition System Using Non-intrusive Devices through a Complementary Technique Based on Discrete Methods

  • Conference paper
Evaluating AAL Systems Through Competitive Benchmarking (EvAAL 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 386))

Abstract

This paper aims to develop a cheap, comfortable and, specially, efficient system which controls the physical activity carried out by the user. For this purpose an extended approach to physical activity recognition is presented, based on the use of discrete variables which employ data from accelerometer sensors. To this end, an innovative selection, discretization and classification technique to make the recognition process in an efficient way and at low energy cost, is presented in this work based on Ameva discretization. Entire process is executed on the smartphone and on a wireless health monitoring system is used when the smartphone is not used taking into account the system energy consumption.

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Author information

Authors and Affiliations

  1. Computer Languages and Systems Dept., University of Seville, 41012, Seville, Spain

    Miguel Ángel Álvarez de la Concepción, Luis Miguel Soria Morillo & Juan Antonio Ortega Ramírez

  2. Applied Economics I Dept., University of Seville, 41018, Seville, Spain

    Luis González Abril

Authors
  1. Miguel Ángel Álvarez de la Concepción
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  2. Luis Miguel Soria Morillo
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  3. Luis González Abril
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  4. Juan Antonio Ortega Ramírez
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Editor information

Editors and Affiliations

  1. Universidad de Murcia, Campus Espinardo, Murcia, Espana

    Juan A. Botía

  2. University of Seville, Spain

    Juan Antonio Álvarez-García

  3. Department of Computer and Information Sciences, Tokyo University of Agricalture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588, Tokyo, Japan

    Kaori Fujinami

  4. ISTI Institute of CNR, Pisa Research Area, via Moruzzi 1, I-56124, Pisa, Italy

    Paolo Barsocchi

  5. TecO, Universität Karlsruhe (TH), Vincenz Prießnitz Str. 3, 76131, Karlsruhe, Germany

    Till Riedel

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© 2013 Springer-Verlag Berlin Heidelberg

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de la Concepción, M.Á.Á., Morillo, L.M.S., Abril, L.G., Ramírez, J.A.O. (2013). Activity Recognition System Using Non-intrusive Devices through a Complementary Technique Based on Discrete Methods. In: Botía, J.A., Álvarez-García, J.A., Fujinami, K., Barsocchi, P., Riedel, T. (eds) Evaluating AAL Systems Through Competitive Benchmarking. EvAAL 2013. Communications in Computer and Information Science, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41043-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-41043-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41042-0

  • Online ISBN: 978-3-642-41043-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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