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.
Toward the use of wearable inertial sensors to train gait in subjects with movement disorders / Ferrari, A.*; Rocchi, L.; van den Noort, J.; Harlaar, J.. - STAMPA. - 1:(2013), pp. 937-940. [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.
