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Gait Quality Monitoring Using an Arbitrarily Oriented Smartphone

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Ambient Assisted Living and Home Care (IWAAL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7657))

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Abstract

Gait sensing by means of accelerometers yields quasi-periodic signals that can be analyzed in order to extract useful information. This paper introduces a method based on a Fuzzy Finite State Machine with temporary restrictions for tracking and recognizing the different states of human walking. Such operation is a mandatory task prior to perform a subsequent analysis on gait quality. Besides, the method described here allows to achieve this recognition when the sensing device, i.e. a smartphone, is being carried by the user in arbitrary orientations related to his/her body’s natural axes.

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References

  1. Blin, O., Ferrandez, A.M., Serratrice, G.: Quantitative analysis of gait in Parkinson patients: increased variability of stride length. Jour. Neur. Scie. 98, 91–97 (1990)

    Article  Google Scholar 

  2. Lee, E.H., Goh, J.C., Bose, K.: Value of gait analysis in the assessment of surgery in cerebral palsy. Arch. Phys. Medi. Reha. 73, 642–646 (1992)

    Google Scholar 

  3. Moe-Nilssen, R.: Test-retest reliability of trunk accelerometry during standing and walking. Arch. Phys. Medi. Reha. 79, 1377–1385 (1998)

    Article  Google Scholar 

  4. Gavrila, D.M.: The visual analysis of human movement: a survey. Comp. Visi. Imag. Unde. 73, 82–98 (1999)

    Article  MATH  Google Scholar 

  5. Alvarez, A., Trivino, G.: Linguistic description of the human gait quality. Engi. Appl. Arti. Inte. (to appear, 2012)

    Google Scholar 

  6. Nickel, C., Busch, C., Rangarajan, S., Mobius, M.: Using hidden markov models for accelerometer-based biometric gait recognition. In: IEEE 7th Inte. Collo. Sign. Proc. Appl., pp. 58–63 (2011)

    Google Scholar 

  7. Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Tran. Syst. Man Cybe. SMC-3, 28–44 (1973)

    Google Scholar 

  8. Alvarez, A., Trivino, G.: Comprehensible model of a quasi-periodic signal. In: Nint. Inte. Conf. Inte. Syst. Desi. Appl. (2009)

    Google Scholar 

  9. Alvarez, A., Trivino, G., Cordon, O.: Human gait modeling using a genetic fuzzy finite state machine. IEEE Tran. Fuzz. Syst. 20, 60–65 (2012)

    Google Scholar 

  10. Whittle, M.W.: Gait analysis: an introduction, 4th edn., pp. 52–53. Elsevier (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. European Centre for Soft Computing, Mieres, Asturias, Spain

    Oscar Ambres & Gracian Trivino

Authors
  1. Oscar Ambres
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  2. Gracian Trivino
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Editor information

Editors and Affiliations

  1. Castilla – La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo  & Ramón Hervás  & 

  2. University of Baja California, Mexicali, Mexico

    Marcela Rodríguez

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© 2012 Springer-Verlag Berlin Heidelberg

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Ambres, O., Trivino, G. (2012). Gait Quality Monitoring Using an Arbitrarily Oriented Smartphone. In: Bravo, J., Hervás, R., Rodríguez, M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_31

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  • DOI: https://doi.org/10.1007/978-3-642-35395-6_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35394-9

  • Online ISBN: 978-3-642-35395-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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