[IPOL announce] new article: A Data Set for the Study of Human Locomotion with Inertial Measurements Units

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2019/265/

Charles Truong, Rémi Barrois-Müller, Thomas Moreau, Clément Provost, 
Aliénor Vienne-Jumeau, Albane Moreau, Pierre-Paul Vidal, Nicolas 
Vayatis, Stéphane Buffat, Alain Yelnik, Damien Ricard, and Laurent 
Oudre, A Data Set for the Study of Human Locomotion with Inertial 
Measurements Units, Image Processing On Line, 9 (2019), pp. 381–390. 
https://doi.org/10.5201/ipol.2019.265

Abstract

This article thoroughly describes a data set of 1020 multivariate gait 
signals collected with two inertial measurement units, from 230 subjects 
undergoing a fixed protocol: standing still, walking 10 m, turning 
around, walking back and stopping. In total, 8.5~h of gait time series 
are distributed. The measured population was composed of healthy 
subjects as well as patients with neurological or orthopedic disorders. 
An outstanding feature of this data set is the amount of signal metadata 
that are provided. In particular, the start and end time stamps of more 
than 40,000 footsteps are available, as well as a number of contextual 
information about each trial. This exact data set was used in [Oudre et 
al., Template-based step detection with inertial measurement units, 
Sensors 18, 2018] to design and evaluate a step detection procedure.