most citedA Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography

11 citations · 15 across the 3 of their papers we have counts for

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cs.RO2023★ 1 cited

Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG

Peiwen Fu, Wenjuan Zhong, Yuyang Zhang +5

Walking-assistive devices require adaptive control methods to ensure smooth transitions between various modes of locomotion. For this purpose, detecting human locomotion modes (e.g…

cs.RO2023★ 3 cited

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG

Xueming Fu, Hao Zheng, Luyan Liu +9

Predicting lower limb motion intent is vital for controlling exoskeleton robots and prosthetic limbs. Surface electromyography (sEMG) attracts increasing attention in recent years…