Motion Capture for Clinical Purposes, an Approach Using PrimeSense Sensors

  • Gabriel Sanmartín
  • Julián Flores
  • Pablo Arias
  • Javier Cudeiro
  • Roi Méndez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7378)


Virtual Reality (VR) is the computer recreation of simulated environments that create on the user a sense of physical presence on them. VR provides the advantages of being highly flexible and controllable, allowing experts to generate the optimal conditions for any given test and isolating any desired variables in the course of an experiment. An important characteristic of VR is that it allows interaction within the virtual world. Motion capture is one of the most popular technologies, because it contributes to creating in the subject the required sense of presence. There are several methods to incorporate these techniques into VR system, with the challenge of them not being too invasive. We propose a method using PrimeSense sensors and several well-known computer vision techniques to build a low-cost mocap system that has proven to be valid for clinical needs, in its application as a support therapy for Parkinson’s disease (PD) patients.


motion capture prime sense Kinect Parkinson inverse kinematics virtual reality 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Gabriel Sanmartín
    • 1
  • Julián Flores
    • 1
  • Pablo Arias
    • 2
  • Javier Cudeiro
    • 1
  • Roi Méndez
    • 1
  1. 1.Instituto de Investigacións TecnolóxicasCoGRADESantiago de CompostelaSpain
  2. 2.Neuroscience and Motor Control Group (NEUROcom), Department of Medicine-INEF GaliciaUniversity of A CoruñaSpain

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