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Built-in Smartphone Accelerometer Motion Pattern Recognition Using Wavelet Transform

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International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 189))

Abstract

This paper is concerned with motion pattern recognition using built-in accelerometers inside of modern mobile devices - smartphones. More and more people are using these devices nowadays without using its full potential for user motion recognition and evaluation. As accelerometer magnitude level comparison is not sufficient for motion pattern recognition morlet wavelet based recognition algorithm is introduced and tested as well as its device implementation is described and tested. Set of basic motion patterns walking, running and shaking with the device is tested and evaluated.

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Author information

Authors and Affiliations

  1. Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. listopadu 15, Ostrava, Poruba, Czech Republic, Europe

    Jakub Jirka & Michal Prauzek

Authors
  1. Jakub Jirka
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  2. Michal Prauzek
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Corresponding author

Correspondence to Jakub Jirka .

Editor information

Editors and Affiliations

  1. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Álvaro Herrero

  2. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  3. MIR Labs, Scientific Network for Innovation, Machine Intelligence Research Labs, Auburn, 98071, USA

    Ajith Abraham

  4. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Ivan Zelinka

  5. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Bruno Baruque

  6. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Héctor Quintián

  7. University of Coruña, Avda. 19 de febrero, s/n, Coruña, 15405 A, Spain

    José Luis Calvo

  8. y León, Pol. Ind. Villalonquéjar, Instituto Tecnológico de Castilla, Lopez Bravo 70, Burgos, 09001, Spain

    Javier Sedano

  9. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Emilio Corchado

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Jirka, J., Prauzek, M. (2013). Built-in Smartphone Accelerometer Motion Pattern Recognition Using Wavelet Transform. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_46

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  • DOI: https://doi.org/10.1007/978-3-642-33018-6_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33017-9

  • Online ISBN: 978-3-642-33018-6

  • eBook Packages: EngineeringEngineering (R0)

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