Biography
Zeyu Yang is a DPhil student at Oxford e-Research Centre, supervised by Prof Wes Armour and Dr Karel Adamek. Previously he completed his MEng in Electrical and Electronic Engineering at Imperial College London.
Most Recent Publications
Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance
Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance
Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction
Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction
Research Interests
- Computer Architecture
- Machine Learning
- Reconfigurable Computing
- Heterogeneous Computing
- Robotics
Research Groups
Related Academics
Most Recent Publications
Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance
Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance
Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction
Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction
Most Recent Publications
Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance
Towards Instant Calibration in Myoelectric Prosthetic Hands: A Highly Data-Efficient Controller Based on the Wasserstein Distance
Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Instinctive Real-time sEMG-based Control of Prosthetic Hand with Reduced Data Acquisition and Embedded Deep Learning Training
Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction
Virtual Reality Pre-Prosthetic Hand Training With Physics Simulation and Robotic Force Interaction
