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Computer Vision Methods for Parkinsonian Gait Analysis: A Review on Patents

Fulltext:


Authors:

Taha Kahn, Dag Nyholm

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Journal article

Venue:

Recent Patents on Biomedical Engineering

Publisher:

Bentham Science

DOI:

10.2174/1874764711306020004

Abstract

Gait disturbance is an important symptom of Parkinson’s disease (PD). This paper presents a review of patents reported in the area of computerized gait disorder analysis. The feasibility of marker-less vision based systems has been examined for ‘at-home’ self-evaluation of gait taking into account the physical restrictions of patients arising due to PD. A three tier review methodology has been utilized to synthesize gait applications to investigate PD related gait features and to explore methods for gait classification based on symptom severities. A comparison between invasive and non-invasive methods for gait analysis revealed that marker-free approach can provide resource efficient, convenient and accurate gait measurements through the use of image processing methods. Image segmentation of human silhouette is the major challenge in the marker-free systems which can possibly be comprehended through the use of Microsoft Kinect application and motion estimation algorithms. Our synthesis further suggests that biorhythmic features in gait patterns have potential to discriminate gait anomalies based on the clinical scales.

Bibtex

@article{Kahn3422,
author = {Taha Kahn and Dag Nyholm},
title = {Computer Vision Methods for Parkinsonian Gait Analysis: A Review on Patents},
volume = {2013},
number = {6},
pages = {97--108},
month = {February},
year = {2013},
journal = {Recent Patents on Biomedical Engineering},
publisher = {Bentham Science},
url = {http://www.es.mdu.se/publications/3422-}
}