Muscle-driven Joint-torque Estimation based on Voltage-Torque Mapping of Electrical Impedance Sensing

This paper offers an impedance sensing method taking advantage of the conductivity changes due to muscle contraction to estimate muscle-driven joint torques through a convolutional neural network (CNN) where the input images are derived from a finite set of boundary voltage measurements. Guided by a...

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Veröffentlicht in:	IEEE sensors journal 2023-07, Vol.23 (13), p.1-1
Hauptverfasser:	Li, Junwei, Lee, Kok-Meng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biomechanics Data collection Electric fields Electrical impedance Electrical measurement Forearm Haptic interfaces human joint torque machine learning muscle force Muscles Muscular function Torque Wrist
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