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Published in:
Innovative Algorithms in Computer Vision Read chapter Read first chapter

2018 | OriginalPaper | Chapter

11. A Novel Foot Progression Angle Detection Method

Authors : Jeffery Young, Milena Simic, Milan Simic

Published in: Computer Vision in Control Systems-4

Publisher: Springer International Publishing

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Abstract

Foot Progression Angle (FPA) detection is an important measurement in clinical gait analysis. Currently, the FPA can only be computed, while walking in a laboratory with a marker-based or Initial Measure Unit (IMU) based motion capture systems. A novel Visual Feature Matching (VFM) method is presented here, measuring the FPA by comparing the shoe orientation with the progression, i.e. the walking direction. Both the foot orientation and progression direction are detected by image processing methods in rectified digital images. Differential FPA (DFPA) algorithm is developed to provide accurate FPA measurement. The hardware of this system combines only one wearable sensor, a chest or torso mounted smart phone camera, and a laptop on the same Wi-Fi network. There is no other prerequisite hardware installation or other specialized set up. This method is a solution for long-term gait self-monitoring in a home or community like environments. Our novel approach leads to simple and persistent, real time remote gait FPA monitoring, and it is a core of new bio-feedback medical procedure.

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previous chapter Image Analysis in Clinical Decision Support System
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Metadata
Title
A Novel Foot Progression Angle Detection Method
Authors
Jeffery Young
Milena Simic
Milan Simic
Copyright Year
2018
Book
Computer Vision in Control Systems-4

Print ISBN: 978-3-319-67993-8

Electronic ISBN: 978-3-319-67994-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67994-5_11

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