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.. - 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.;
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.
2013
Biosystems and Biorobotics
978-3-642-34545-6
Springer International Publishing
GERMANIA
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.. - 1:(2013), pp. 937-940. [10.1007/978-3-642-34546-3_152]
Ferrari, A.; Rocchi, L.; van den Noort, J.; Harlaar, J.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1206151
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