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An Intelligent System for Detecting a Person Sitting Position to Prevent Lumbar Diseases

  • Paul D. Rosero-MontalvoEmail author
  • Vivian López-Batista
  • Vanessa E. Alvear Puertas
  • Edgar Maya-Olalla
  • Mauricio Dominguez-Limaico
  • Marcelo Zambrano-Vizuete
  • Ricardo P. Arciengas-Rocha
  • Vanessa C. Erazo-Chamorro
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)

Abstract

The present system shows a position detection of a person in the sitting position by means of an accelerometer sensor and the implementation of data analysis stages of prototype selection and supervised classification. As a result, an optimal training matrix with a 100% classification performance is obtained. Finally, an interface is presented that shows the own decision of the system.

Keywords

Body position Embedded system Data analysis Sensors 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Paul D. Rosero-Montalvo
    • 1
    • 2
    Email author
  • Vivian López-Batista
    • 2
    • 3
  • Vanessa E. Alvear Puertas
    • 1
  • Edgar Maya-Olalla
    • 1
  • Mauricio Dominguez-Limaico
    • 1
  • Marcelo Zambrano-Vizuete
    • 1
  • Ricardo P. Arciengas-Rocha
    • 4
  • Vanessa C. Erazo-Chamorro
    • 4
  1. 1.University Técnica del NorteIbarraEcuador
  2. 2.University of SalamancaSalamancaSpain
  3. 3.YachayTechUrcuquíEcuador
  4. 4.Instituto Tecnológico Superior 17 de JulioUrcuquíEcuador

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