Pingping Wei
Papers
1
Total Citations
26
H-Index
1
About
Dr. Pingping Wei is a leading researcher in human-machine interaction and wearable robotics, with a particular focus on advancing assistive technologies through biosignal processing. Her work centers on using surface electromyography (sEMG) to decode human motion intent, a critical component for seamless control of prosthetic limbs and exoskeletons. In her highly cited 2019 paper, "sEMG-Based Continuous Estimation of Knee Joint Angle Using Deep Learning with Convolutional Neural Network," Dr. Wei pioneered a deep learning approach that enables continuous, real-time estimation of joint angles from muscle signals—a significant leap over traditional discrete classification methods. This work, which has garnered 26 citations, demonstrates her impact in bridging neural interfaces and robotic actuation. By leveraging convolutional neural networks, she has improved the accuracy and naturalness of human-machine collaboration, directly contributing to more intuitive and responsive wearable systems. Her research continues to shape the future of rehabilitation engineering and intelligent prosthetics, making her a pivotal figure in the field.
Research Focus
Key Achievements
Top Papers
- 1