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Erschienen in:
Innovative Algorithms in Computer Vision Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

11. A Novel Foot Progression Angle Detection Method

verfasst von : Jeffery Young, Milena Simic, Milan Simic

Erschienen in: Computer Vision in Control Systems-4

Verlag: 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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Vorheriges Kapitel Image Analysis in Clinical Decision Support System
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Metadaten
Titel
A Novel Foot Progression Angle Detection Method
verfasst von
Jeffery Young
Milena Simic
Milan Simic
Copyright-Jahr
2018
Buch
Computer Vision in Control Systems-4

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

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

Copyright-Jahr: 2018

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