15 citations · 32 across the 7 of their papers we have counts for
7 papers
HaptiNet: Networked Haptic Robots Enable Physical Co-presence in Geographically-Unconstrained Rehabilitation
Chenyang Sun, Mingjie Dong, Haodong Deng +18
Cooperative rehabilitation enhances engagement, task performance, and social-motor interaction, yet it demands physical co-presence: users must transmit forces, coordinate movement…
Physiologically Constrained Musculoskeletal Neural Network for Multi-DoF Joint Kinematics Estimation from Partially Observed sEMG
Wending Heng, Mingming Zhang, Glen Cooper +1
This paper investigates multi-degrees of freedom (DoF) joint kinematics estimation under partially observed surface electromyography (sEMG), where only a subset of task-relevant mu…
Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS): A Review
Wenzhi Bai, Andrew Weightman, Rory J O Connor +4
Transcranial magnetic stimulation (TMS) is a non-invasive and safe brain stimulation procedure with growing applications in clinical treatments and neuroscience research. However,…
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…