Crowd-sourced amputee gait data : a feasibility study using YouTube videos of unilateral trans-femoral gait

Gardiner, JD, Gunarathne, N, Howard, D and Kenney, LPJ 2016, 'Crowd-sourced amputee gait data : a feasibility study using YouTube videos of unilateral trans-femoral gait' , PLoS ONE .

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Abstract

Collecting large datasets of amputee gait data is notoriously difficult. Additionally, collecting data on less prevalent amputations or on gait activities other than level walking and running on hard surfaces is rarely attempted. However, with the wealth of user-generated content on the Internet, the scope for collecting amputee gait data from alternative sources other than traditional gait labs is intriguing. Here we investigate the potential of YouTube videos to provide gait data on amputee walking. We use an example dataset of trans-femoral amputees level walking at self-selected speeds to collect temporal gait parameters and calculate gait asymmetry. We compare our YouTube data with typical literature values, and show that our methodology produces results that are highly comparable to data collected in a traditional manner. The similarity between the results of our novel methodology and literature values lends confidence to our technique. Nevertheless, clear challenges with the collection and interpretation of crowd-sourced gait data remain, including long term access to datasets, and a lack of validity and reliability studies in this area.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering
Schools > School of Health Sciences
Journal or Publication Title: PLoS ONE
Publisher: Public Library of Science
ISSN: 1932-6203
Related URLs:
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: WM Taylor
Date Deposited: 19 Oct 2016 07:35
Last Modified: 14 Dec 2017 04:30
URI: http://usir.salford.ac.uk/id/eprint/40367

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