Jinpeng Wang
Papers
1
Total Citations
31
H-Index
1
About
Jinpeng Wang is a researcher whose work sits at the compelling intersection of biomedical signal processing, human-machine interfaces, and robotic control systems. His most recognized contribution, "EMG Signal Classification for Myoelectric Teleoperating a Dexterous Robot Hand" (2005), has garnered 31 citations and represents a significant step forward in the field of neuroprosthetics and robotic teleoperation. In this work, Wang developed and refined strategies for discriminating individual finger motions using surface electromyography (EMG) signals — a non-invasive technique that captures the electrical activity of muscles — and demonstrated how these signals could be harnessed to control sophisticated multi-fingered robotic hands or advanced myoelectric prostheses for upper-limb amputees. By addressing the core challenge of reliably classifying distinct finger movements from surface EMG data, Wang's research has meaningful real-world implications for restoring functional independence to amputees and advancing teleoperated robotics in delicate manipulation tasks. His work contributes to a growing body of knowledge that bridges neuroscience, rehabilitation engineering, and intelligent robotics, making it a valuable reference for students and researchers exploring next-generation prosthetic and human-robot interaction technologies.
Research Focus
Key Achievements
Top Papers
- 1