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.
