sEMG signal and hill model based continuous prediction for hand grasping motion

This paper is aimed at the continuous hand grasping motion prediction during all fingers flexion and extension. Only sEMG signals recorded from flexor digitorum superficialis and extensor digitorum of forearm are used to predict the flexion and extension motion. In order to find the relation between...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Muye Pang, Shuxiang Guo, Zhibin Song, Songyuan Zhang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	continuous prediction Electromyography Flexible printed circuits Force hand grasping motion Hill model Joints Muscles Surface Electromyography (sEMG) signal Thumb
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