3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.HC2023
A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography
Wenjuan Zhong, Yuyang Zhang, Peiwen Fu +2
Accurate hand gesture prediction is crucial for effective upper-limb prosthetic limbs control. As the high flexibility and multiple degrees of freedom exhibited by human hands, the…
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…