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An Introduction to Evolutionary Multi-objective Optimization with Some Applications in Pattern Recognition Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Krawtchouk Moments for Gait Phase Detection

Authors : C. Camacho-Bello, J. J. Báez-Rojas

Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Publisher: Springer International Publishing

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We present a novel method for gait phase detection based on Krawtchouk moments, which can be used in gait analysis. The low computational cost and high capacity of description of the Krauchouk moments makes it easy detect the parameters of the gait cycle, such as the swing phase, stance phase and double support. In addition, we present the results of the gait phases detection with the proposed method of 10 test subjects and compared with standard values.

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previous chapter A New Saliency Detection Method for Stereoscopic Images Using Contrast and Prior Knowledge
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Metadata
Title
Krawtchouk Moments for Gait Phase Detection
Authors
C. Camacho-Bello
J. J. Báez-Rojas
Copyright Year
2014
Publisher
Springer International Publishing
Book
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Print ISBN: 978-3-319-12567-1

Electronic ISBN: 978-3-319-12568-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-12568-8_95

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