Chaoyue Yin
Papers
2
Total Citations
7
H-Index
2
About
Chaoyue Yin is a researcher at the intersection of rehabilitation robotics, biomedical engineering, and intelligent control systems. Their work focuses on developing advanced, data-driven solutions for hand function recovery, particularly for stroke patients. Yin’s major contributions include pioneering the use of Convolutional Neural Networks (CNNs) to predict hand grasping patterns and control robotic manipulators by extracting postural synergy bases—a breakthrough that addresses the complexity of the human hand’s multiple degrees of freedom. This work, published in 2022, has already garnered 5 citations, demonstrating its growing influence in the field of assistive robotics. Additionally, Yin designed and implemented an interactive hand rehabilitation training system using LabVIEW, a project that integrates automation control with rehabilitation medicine to overcome the limitations of traditional, monotonous therapy. This system, published in 2020 with 2 citations, highlights Yin’s commitment to creating engaging, technology-driven rehabilitation tools. By combining deep learning, robotics, and user-centered design, Chaoyue Yin is advancing the frontier of medical rehabilitation, offering new hope for patients recovering from neurological injuries.
Research Focus
Key Achievements
Top Papers
- 1
- 2