Pingao Huang
Papers
2
Total Citations
32
H-Index
2
About
Pingao Huang is a leading researcher in human-robot interaction and biomedical signal processing, with a focus on advancing prosthetic and rehabilitation technologies. His work centers on developing novel sensing methods for accurate hand gesture and upper-limb movement recognition, addressing critical challenges in human-machine interfaces. Huang’s major contributions include pioneering the use of muscle shape change (MSC) signals as a complementary modality to traditional surface electromyography (sEMG). His 2020 paper on identifying upper-limb movements via MSC signals (19 citations) demonstrated a robust approach to reducing electromagnetic interference, while his 2022 work on a flexible, stretchable hybrid sensor for in-situ sEMG and MSC measurement (13 citations) achieved high-accuracy hand gesture recognition—a key step toward multifunctional prostheses. With a combined citation count exceeding 30 for these foundational studies, Huang’s innovations in sensor fusion and wearable technology are shaping next-generation rehabilitation robots and intuitive human-robot interfaces, offering practical solutions for amputees and patients with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2