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.
Ferrari, A.*, Rocchi, L., van den Noort, J., Harlaar, J. (2013). Toward the use of wearable inertial sensors to train gait in subjects with movement disorders. Berlin : Springer International Publishing [10.1007/978-3-642-34546-3_152].
Toward the use of wearable inertial sensors to train gait in subjects with movement disorders
Ferrari, A.;Rocchi, L.;
2013
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
