@inbook{3f69642a09e94cca9264f7a9ba3f98ac,
title = "Toward the use of wearable inertial sensors to train gait in subjects with movement disorders",
abstract = "This study presents an algorithm to estimate gait features, from on-body mounted inertial sensors, and preliminary results on two sampling populations. Estimated gait features are compared with gold standard system (camera-based) for gait analysis. Difference of estimated step length and god standard measure is below 5% when considering median values. Results are promising toward the aim of including this approach in a system for training and assessment of gait for people with movement disorders.",
author = "A. Ferrari and L. Rocchi and {van den Noort}, J. and J. Harlaar",
note = "Funding Information: The research leading to these results has been partially founded by the European Union - Seventh Framework Programme (FP7/2007-2013) under grant agreement n°288516 (CuPiD project). Publisher Copyright: {\textcopyright} 2013, Springer-Verlag Berlin Heidelberg.",
year = "2013",
doi = "https://doi.org/10.1007/978-3-642-34546-3_152",
language = "English",
series = "Biosystems and Biorobotics",
publisher = "Springer International Publishing AG",
pages = "937--940",
editor = "J.L. Pons and D. Torricelli and M. Pajaro",
booktitle = "Biosystems and Biorobotics",
address = "Switzerland",
}