Data for the paper 'Gait event detection in laboratory and real life settings: accuracy of ankle and waist sensor based methods'
datasetposted on 28.10.2016 by Fabio Storm, Chris Buckley, Claudia Mazza
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.