Kinect V2

Motion Capture: An Evaluation of Kinect V2 Body Tracking for Upper Limb Motion Analysis

Kinect V2

Motion Capture: An Evaluation of Kinect V2 Body Tracking for Upper Limb Motion Analysis

Abstract

In this study, we evaluate the performances of the body tracking algorithm of the Kinect V2 low-cost time-of-flight camera for medical rehabilitation purposes. Kinect V2 is an affordable motion capture system, capable to monitor patients ability to perform the exercise programs at home after a training period inside the hospital, which is more convenient and comfortable for them. In order to verify the reliability of the body tracking algorithm of the Kinect V2, it has been compared with an actual stereophotogrammetric optoelectronic 3D motion capture system, routinely used in a Motion Analysis Laboratory in a Rehabilitation Centre, focusing on the upper limb rehabilitation process. The results obtained from the analysis reveal that the device is suitable for the rehabilitation application and, more generally, for all the applications in which the required accuracy related to the joint position does not exceed a couple of centimetres.

Publication
6th EAI International Conference on Wireless Mobile Communication and Healthcare
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Silvio Giancola
Postdoctoral Research Fellow

Silvio Giancola is a Postdoctoral Research Fellow in Computer Vision at King Abdullah University of Science and Technology (KAUST), working under the supervision of Prof. Bernard Ghanem in the Image and Video Understanding Laboratory (IVUL), part of the Visual Computing Center (VCC).

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