Mo Wang
Papers
2
Total Citations
29
H-Index
2
About
Mo Wang is a researcher in the field of rehabilitation robotics and human-machine systems, with a primary focus on wearable assistive technologies and biomechanical signal analysis. His work centers on developing intelligent exoskeletons and walking assist robots that enhance mobility for individuals with gait impairments. Wang’s major contributions include the design of a weight-supporting wearable robot that leverages a human hinge model and kinesiology analysis to create a novel mechanical structure for effective bodyweight support during walking. He has also advanced electromyography (EMG) signal processing, proposing an innovative segmentation algorithm based on signal envelopes and integral electrical signals to improve walking analysis accuracy. While his citation counts are still growing—with his most cited paper reaching 23 citations—his research represents foundational steps toward practical, universal walking assist systems. Wang’s work bridges mechanical engineering, sensor technology, and human physiology, offering promising pathways for future rehabilitation robotics and assistive device development.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Weight-Supporting Wearable Robot for Walking Assist6 citations · 2015