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2019 | OriginalPaper | Chapter

Movement Detection Algorithm for Patients with Hip Surgery

Authors : Cesar Guevara, Matilde Santos, Janio Jadán

Published in: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

Publisher: Springer International Publishing

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Abstract

This work proposes a model of movement detection in patients with hip surgery rehabilitation. Using the Microsoft Xbox One Kinect motion capture device, information is acquired from 25 body points -with their respective coordinate axes- of patients while doing rehabilitation exercises. Bayesian networks and sUpervised Classification System (UCS) techniques have been jointly applied to identify correct and incorrect movements. The proposed system generates a multivalent logical model, which allows the simultaneous representation of the exercises performed by patients with good precision. It can be a helpful tool to guide rehabilitation.

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Metadata
Title
Movement Detection Algorithm for Patients with Hip Surgery
Authors
Cesar Guevara
Matilde Santos
Janio Jadán
Copyright Year
2019
Book
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

Print ISBN: 978-3-319-94119-6

Electronic ISBN: 978-3-319-94120-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-94120-2_42

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