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NAO Robot as Rehabilitation Assistant in a Kinect Controlled System

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Converging Clinical and Engineering Research on Neurorehabilitation II

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 15))

Abstract

In this paper NAO robot is presented as a Home Rehabilitation assistant; Machine Learning is used to classify the data provided by a Kinect RGB-D sensor in order to obtain a Home Exercise Monitoring System which aims at helping physicians controlling patient at home rehabilitation.

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References

  1. L. Breiman, Random forests. Mach. Learn. 45(1), 5–32 (2001)

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  2. Kinect, Microsoft Kinect XBOX. https://support.xbox.com/en-US/xbox-360/accessories/kinect-sensor-components

  3. NAO, Aldebaran Robotics. https://www.aldebaran.com/en/humanoidrobot/nao-robot

  4. M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, A.Y. Ng, ROS: an open-source robot operating system, in ICRA Workshop on Open Source Software, vol. 3 (2009), p. 5

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Acknowledgments

This work has been partially supported by the Basque Government (IT900-16) and the Spanish Ministry of Economy and Competitiveness MINECO (TIN2015-64395-R).

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Correspondence to I. Rodríguez .

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Rodríguez, I., Aguado, A., Parra, O., Lazkano, E., Sierra, B. (2017). NAO Robot as Rehabilitation Assistant in a Kinect Controlled System. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_70

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  • DOI: https://doi.org/10.1007/978-3-319-46669-9_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46668-2

  • Online ISBN: 978-3-319-46669-9

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