Sher_etal_2021_final.pdf (458.86 kB)
Download file

Automatic gait analysis during steady and unsteady walking using a smartphone

Download (458.86 kB)
posted on 2021-09-17, 05:18 authored 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.


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

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

Ser Cymru Tackling Covid-19, grant No. 009


Email Address of Submitting Author

Submitting Author's Institution

Aberystwyth University

Submitting Author's Country

  • United Kingdom

Usage metrics