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Neural Networks Based System for the Supervision of Therapeutic Exercises

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7666)


Present contribution describes application of the neural networks based models to detect incorrectly performed therapeutic exercises within the frameworks of wearable supervision system. Electronic accelerometers and gyroscopes attached to the human upper and lower limbs gather information about performed exercise in real time. Trained, on the data describing correctly done exercises, neural network based dynamic model of the limb is used to find the difference between the actual and ”ideal” performances and judge if exercises are performed in a correct way or not.


  • Neural networks
  • dynamic model
  • NN-ANARX model
  • medical system
  • rehabilitation

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© 2012 Springer-Verlag Berlin Heidelberg

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Nõmm, S., Kuusik, A., Ovsjanski, S., Malmberg, I., Parve, M., Orunurm, L. (2012). Neural Networks Based System for the Supervision of Therapeutic Exercises. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7666. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34477-0

  • Online ISBN: 978-3-642-34478-7

  • eBook Packages: Computer ScienceComputer Science (R0)