15 citations · 32 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Close-range Human Following Control on a Cane-type Robot with Multi-camera Fusion
Haowen Liu, Fengxian Wu, Bin Zhong +4
Cane-type robots have been utilized to assist and supervise the mobility-impaired population. One essential technique for cane-type robots is human following control, which allows…