22 citations · 27 across the 6 of their papers we have counts for
6 papers
Sensor-Space Based Robust Kinematic Control of Redundant Soft Manipulator by Learning
Yinan Meng, Kun Qian, Jiong Yang +3
The intrinsic compliance and high degree of freedom (DoF) of redundant soft manipulators facilitate safe interaction and flexible task execution. However, effective kinematic contr…
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,…
Physics-Embedded Neural Networks for sEMG-based Continuous Motion Estimation
Wending Heng, Chaoyuan Liang, Yihui Zhao +3
Accurately decoding human motion intentions from surface electromyography (sEMG) is essential for myoelectric control and has wide applications in rehabilitation robotics and assis…
Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs
Ziwen Wang, Yue Zhang, Zhiqiang Zhang +4
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can achieve high recognition accuracy with sufficient training data. Transfer learning presents…
Boosting Personalised Musculoskeletal Modelling with Physics-informed Knowledge Transfer
Jie Zhang, Yihui Zhao, Tianzhe Bao +5
Data-driven methods have become increasingly more prominent for musculoskeletal modelling due to their conceptually intuitive simple and fast implementation. However, the performan…
Physics-informed Deep Learning for Musculoskeletal Modelling: Predicting Muscle Forces and Joint Kinematics from Surface EMG
Jie Zhang, Yihui Zhao, Fergus Shone +4
Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability to estimate movement variables (…