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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
L. Breiman, Random forests. Mach. Learn. 45(1), 5–32 (2001)
Kinect, Microsoft Kinect XBOX. https://support.xbox.com/en-US/xbox-360/accessories/kinect-sensor-components
NAO, Aldebaran Robotics. https://www.aldebaran.com/en/humanoidrobot/nao-robot
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
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
RodrÃguez, 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., AzorÃn, 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
Download citation
DOI: https://doi.org/10.1007/978-3-319-46669-9_70
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46668-2
Online ISBN: 978-3-319-46669-9
eBook Packages: EngineeringEngineering (R0)