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Automatic gait analysis during steady and unsteady walking using a smartphone

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posted on 17.09.2021, 05:18 by Arshad Sher, David Langford, Einar Dogger, Dan Monaghan, Luke Ian Lunn, Maresa Schroeder, Azam Hamidinekoo, Marco Arkesteijn, Qiang Shen, Reyer Zwiggelaar, Helen Tench, Federico Villagra, Otar AkanyetiOtar Akanyeti
How people walk often reveals key insights into health, quality of life and independence. Here, we propose a smartphone-based gait monitoring system which is sensitive and accurate enough to measure temporal gait parameters during unsteady walking, differentiate between normal and impaired gait, and recognise changes in the impaired gait depending on the use of medication or walking aid.

Funding

H2020-MSCA-RISE-2019, Grant No: 873178

Ser Cymru Cofund Research Fellowship, Grant No. 663830-AU167

Ser Cymru Tackling Covid-19, grant No. 009

History

Email Address of Submitting Author

ota1@aber.ac.uk

Submitting Author's Institution

Aberystwyth University

Submitting Author's Country

United Kingdom

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