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

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7930))

Abstract

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.

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Marin-Alonso, O., Ruiz-Fernández, D., Soriano, A., Garcia-Perez, J.D. (2013). Use of Multilayer Perceptron vs. Distance Measurement Methods for Classification of Exercises in Telerehabilitation. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Models in Computation and Biology. IWINAC 2013. Lecture Notes in Computer Science, vol 7930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38637-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-38637-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38636-7

  • Online ISBN: 978-3-642-38637-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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