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The decomposition of surface EMG signals based on blind source separation of convolved mixtures.
The decomposition of surface EMG signals can provide valuable information about the recruitment and firing of motor units from surface EMG recordings. A...
文献获取User-independent real-time hand gesture recognition based on surface electromyography
In this paper, we present a novel real-time hand gesture recognition system based on surface electromyography. We employ a user-independent approach based on a support vector machine utilizing ten features extracted from the raw elect...
Gesture-controlled reconfigurable metasurface system based on surface electromyography for real-time electromagnetic wave manipulation
Gesture recognition plays a significant role in human-machine interaction (HMI) system. This paper proposes a gesture-controlled reconfigurable metasurf...
VMD-based denoising methods for surface electromyography signals
surface electromyographic (sEMG) signals, two novel methods for denoising based on the variational mode decomposition (VMD) method were proposed in this...
Variational mode decomposition for surface and intramuscular EMG signal denoising
technique based on the variational mode decomposition (VMD) for both surface electromyography signals (sEMG) and intramuscular electromyography signals ...
Gesture Recognition Through sEMG with Wearable Device Based on Deep Learning
It is conducive to the application of sEMG signals in helping disabled people through combining wearable devices with deep learning. Therefore, design o...
Gesture Recognition and Master–Slave Control of a Manipulator Based on sEMG and Convolutional Neural Network–Gated Recurrent Unit
Surface electromyography signal (sEMG) is the bio-electric signal accompanied by muscle contraction. For master–slave manipulation scenario such as pat...
Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals
Surface electromyography (sEMG) signals are stochastic, multicomponent and non-stationary, and therefore their interpretation is challenging. In this st...
Activity recognition of the torso based on surface electromyography for exoskeleton control
Zhe ZhangFrank Sup IvActivity recognition of the torso based on surface electromyography for exoskeleton control[J] . Zhe Zhang,Frank Sup.Biomedical Sig...
High dimensional feature data reduction of multichannel sEMG for gesture recognition based on double phases PSO
Surface electromyography (sEMG) is a kind of valuable bioelectric signal and very potential in the field of human鈥搈achine interaction. Ideal interacti...
