2023
DOI: 10.3390/s23094188
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Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion

Abstract: Transhumeral amputees experience considerable difficulties with controlling a multifunctional prosthesis (powered hand, wrist, and elbow) due to the lack of available muscles to provide electromyographic (EMG) signals. The residual limb motion strategy has become a popular alternative for transhumeral prosthesis control. It provides an intuitive way to estimate the motion of the prosthesis based on the residual shoulder motion, especially for target reaching tasks. Conventionally, a predictive model, typically… Show more

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Cited by 5 publications
(1 citation statement)
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“…Recent studies have focused on enhancing the intuitive control of prosthetic elbow joints by leveraging movement synergies that govern coordinated joint movements in the upper limb [ 10 , 11 , 12 ]. Previous studies have revealed that human movements can be effectively characterized by a reduced set of primitive components known as motor synergies [ 13 , 14 , 15 ].…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies have focused on enhancing the intuitive control of prosthetic elbow joints by leveraging movement synergies that govern coordinated joint movements in the upper limb [ 10 , 11 , 12 ]. Previous studies have revealed that human movements can be effectively characterized by a reduced set of primitive components known as motor synergies [ 13 , 14 , 15 ].…”
Section: Introductionmentioning
confidence: 99%