Zeming Yin
Papers
1
Total Citations
9
H-Index
1
About
Zeming Yin is a researcher focused on rehabilitation robotics and human–robot interaction, with a particular emphasis on enhancing patient engagement during motor recovery. His most-cited work, “A Novel Robot-Aided Upper Limb Rehabilitation Training System Based on Multimodal Feedback” (2019, 9 citations), addresses a critical challenge in physical therapy: the monotony and fatigue patients often experience during repetitive exercises. Yin’s major contribution lies in designing a system that integrates multimodal feedback—such as visual, auditory, or haptic cues—to boost motivation and active participation during robot-assisted training. This approach not only improves the quality of rehabilitation but also aligns with broader efforts to make therapy more adaptive and patient-centered. While his citation count reflects an emerging career, the novelty of his work has positioned him as a promising voice in assistive robotics. Yin’s research bridges engineering and clinical practice, offering practical solutions for upper limb recovery that could transform how patients interact with rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1