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Data for the paper 'Gait event detection in laboratory and real life settings: accuracy of ankle and waist sensor based methods​'

dataset
posted on 28.10.2016, 12:42 by Fabio Storm, Chris Buckley, Claudia Mazza
The aim of this study was to evaluate the accuracy of two algorithms for the detection of gait events and temporal parameters during free-living walking, one based on two shank-worn inertial sensors, and the other based on one waist-worn sensor. The algorithms were applied to gait data of ten healthy subjects walking both indoor and outdoor, and completing protocols that entailed both straight supervised and free walking in an urban environment.

Funding

This study was supported by the EPSRC Frontier Engineering Awards, Grant Reference No. EP/K03877X/1 and by the MRC and Arthritis Research UK as part of the MRC – Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA).

History

Ethics

There is no personal data or any that requires ethical approval

Policy

The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a readme.txt file describing the methodology, headings and units