Use of Multilayer Perceptron vs. Distance Measurement Methods for Classification of Exercises in Telerehabilitation

  • Oscar Marin-Alonso
  • Daniel Ruiz-Fernández
  • Antonio Soriano
  • Joaquin D. Garcia-Perez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7930)


Any effort to improve the efficiency of the physical rehabilitation processes is fundamental to ensure the sustainability of healthcare services. This efficiency depends greatly on the patient’s adherence to the rehabilitation treatments. Information and communication technologies can help in these issues offering solutions that aim to monitor the patients’ rehabilitation exercises performance allowing the existence of domiciliary rehabilitation scenarios. We have developed a solution of this kind, which aims to be as simple and low-cost as possible in the way of how recognizes and evaluates patient’s movements. In this work we show a comparison between the use of a multilayer perceptron and a distance between patterns measuring algorithm for patients’ motion recognition.


telerehabilitation motion recognition multilayer perceptron dynamic time warping 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Oscar Marin-Alonso
    • 1
  • Daniel Ruiz-Fernández
    • 1
  • Antonio Soriano
    • 1
  • Joaquin D. Garcia-Perez
    • 1
  1. 1.Dept. of Computer TechnologyUniversity of AlicanteSan Vicente del RaspeigSpain

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