This study present first validation results of a new method for gait cycle detection (identification of start time of each step) during walking, that can substitutes foot switches sensors when their performances degenerate with the use. This method uses directly the acquired EMG muscle signal to find a possible step division, especially in applications where long walks are acquired.
EMG SIGNAL-ONLY GAIT CYCLE DETECTION ALGORITHM
PASINETTI, SIMONE;LANCINI, Matteo;VETTURI, David;BORBONI, Alberto
2013-01-01
Abstract
This study present first validation results of a new method for gait cycle detection (identification of start time of each step) during walking, that can substitutes foot switches sensors when their performances degenerate with the use. This method uses directly the acquired EMG muscle signal to find a possible step division, especially in applications where long walks are acquired.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
bgl-walking2.03.pdf
gestori archivio
Tipologia:
Full Text
Licenza:
DRM non definito
Dimensione
157.33 kB
Formato
Adobe PDF
|
157.33 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
