Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks

Volume: 40, Pages: 335 - 342
Published: Feb 1, 2018
Abstract
Surface electromyography (EMG) signals have been widely used in locomotion studies and human-machine interface applications. In this paper, a regression model which relates the multichannel surface EMG signals to human lower limb flexion/extension (FE) joint angles is constructed. In the experimental paradigm, three dimensional trajectories of 16 external markers on the human lower limbs were recorded by optical motion capture system and surface...
Paper Details
Title
Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks
Published Date
Feb 1, 2018
Volume
40
Pages
335 - 342
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