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Gesture Recognition Using Dynamic Time Warping and Kinect: A Practical Approach

Authors :
David Pozo
Juan Vasquez
Santiago Riofrio
Jorge L. Rosero
Source :
2017 International Conference on Information Systems and Computer Science (INCISCOS).
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

This paper describes a detailed methodology that allows gesture recognition performed with the upper limbs of the human body, based on Dynamic Time Warping (DTW) technique using a Kinect in order to control a slide-show. Several involved parameters on the DTW algorithm will be analyzed allowing an accurate recognition, considering variations on the gesture velocity and even if subject's physical shape differ. A software was developed in Microsoft Visual C# to show and test how different parameters affects the performance of the algorithm. Finally an accuracy of 84.07% was obtained in this approach.

Details

Database :
OpenAIRE
Journal :
2017 International Conference on Information Systems and Computer Science (INCISCOS)
Accession number :
edsair.doi...........674da7b3f1f5c535b3f233a94a3a7b93
Full Text :
https://doi.org/10.1109/inciscos.2017.36