Title:
Validation of Accuracy of the Super Pop VR™ Kinematic Assessment Methodology Using Markerless Versus Marker-Based Motion Capture Systems
Validation of Accuracy of the Super Pop VR™ Kinematic Assessment Methodology Using Markerless Versus Marker-Based Motion Capture Systems
Author(s)
García-Vergara, Sergio
Robinette, Paul
Chen, Yu-Ping
Howard, Ayanna M.
Robinette, Paul
Chen, Yu-Ping
Howard, Ayanna M.
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Abstract
Therapists and clinicians have been combining virtual reality (VR) systems for rehabilitation purposes with motion capture systems to
accurately keep track of the users' movements and better analyze their
kinematic performance. The current state-of-the-art motion capture technology is limited to the clinical setting due to its cost, the necessity for a
controlled environment, requirement of additional equipment, among others.
Given the benefits of home-based rehabilitation protocols, more portable and cost-effective technology is being coupled with the VR systems. In this work,
we focus on validating the accuracy of the Kinect™ camera from Microsoft. We compare its performance to a current state-of-the-art motion capture system. Namely, we 1) analyze the difference between the outcome metrics computed with data collected with the Kinect™ camera and the outcome metrics computed
with data collected with the motion capture system, and 2) compare the spatial trajectories generated by both systems for the hand, elbow, and shoulder joints. Data were collected from ten able-bodied adults to quantify these comparisons. In general, results from both analyzes support the validity and feasibility of using the Kinect™ camera for home-based rehabilitation purposes.
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Date Issued
2016
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Text
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Post-print