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‘VRComponent’: A Virtual Reality Software for Neuro-Rehabilitation with Robotics Technologies

  • Christopher Ávila
  • Luis Manso
  • Pablo Bustos Garcia de Castro
  • Pedro Núñez
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 15)

Abstract

Autonomous robots that are interfaced with virtual or augmented reality gaming are increasingly being developed to provide repetitive intensive practice to promote increased compliance and facilitate better outcomes in neurorehabilitation therapies. These therapist robots, equipped with a set of sensors and actuators for monitorizing the environment, allows health professionals to supervise the recovery of patients with serious disability. In this paper, a new system for supervising neuro-rehabilitation therapies using autonomous robots is presented. The therapy explained in this work is based on a set of virtual reality games developed by using robotics technologies, such as RGB-D camera and depth image processing. Three different virtual reality games have been developed in the application to gain better outcomes during the therapy, each one focuses on a typical exercise: ‘Touch the apple’, ‘Follow the path’ and ‘Imitate the dance’. Both, the virtual reality games and the main robotics technologies for their development, are explained in this paper.

Notes

Acknowledgments

This work has been partially supported by the MICINN Project TIN2015-65686-C5-5-R, by the Extremadura Goberment project GR15120.

References

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    L.V. Calderita, P. Bustos, C. Surez, F. Fernndez, R. Vicianad, A. Bandera, Asistente Robtico Socialmente Interactivo para Terapias de Rehabilitacin Motriz con Pacientes de Pediatra. ScienceDirect Revista Iberoamericana de Automtica e Informtica industrial 12, 99–110 (2015)Google Scholar
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    L. Manso, P. Bachiller, P. Bustos, P. Núnez, R. Cintas, L.Calderita. RoboComp: a tool based robotics framework, in Proceedings, SIMPAR Second International Conference on Simulation, Modeling and Programming for Autonomous Robots (2010), pp. 251–262Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Christopher Ávila
    • 1
  • Luis Manso
    • 1
  • Pablo Bustos Garcia de Castro
    • 1
  • Pedro Núñez
    • 1
  1. 1.Robotics and Artificial Vision group (ROBOLAB)University of ExtremaduraCáceresSpain

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