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Fuzzy Intelligent System for Supporting Preeclampsia Diagnosis from the Patient Biosignals Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Vision Based Gait Analysis for Frontal View Gait Sequences Using RGB Camera

Authors : Mario Nieto-Hidalgo, Francisco Javier Ferrández-Pastor, Rafael J. Valdivieso-Sarabia, Jerónimo Mora-Pascual, Juan Manuel García-Chamizo

Published in: Ubiquitous Computing and Ambient Intelligence

Publisher: Springer International Publishing

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Abstract

In this paper we propose a vision based gait analysis approach to work with frontal view sequences. The main issue of sagittal view gait sequences is the physical space required to record them. We propose two different approaches to obtain heel strike and toe off with frontal gait, both of them are based in the time series of the difference of component y of both feet. In the former, the zero crosses are used to determine the range in which heel strike and toe off occurs. In the latter, the maxima and minima are used instead. Testing our approach with our own dataset show that it is possible to obtain heel strike and toe off events using only frontal view gait sequences recorded with an RGB camera. Results show as well that it is possible to classify between normal and abnormal gait using frontal view.

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Metadata
Title
Vision Based Gait Analysis for Frontal View Gait Sequences Using RGB Camera
Authors
Mario Nieto-Hidalgo
Francisco Javier Ferrández-Pastor
Rafael J. Valdivieso-Sarabia
Jerónimo Mora-Pascual
Juan Manuel García-Chamizo
Copyright Year
2016
Book
Ubiquitous Computing and Ambient Intelligence

Print ISBN: 978-3-319-48745-8

Electronic ISBN: 978-3-319-48746-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48746-5_3

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