Mingyu Du
Papers
2
Total Citations
20
H-Index
2
About
Mingyu Du is a rising researcher in the field of biomechatronics and human-robot interaction, with a primary focus on intelligent exoskeleton control and rehabilitation robotics. His work centers on developing non-invasive, wearable sensing systems and advanced machine learning algorithms to decode human motion intent. Du’s major contributions include a novel method for continuous prediction of lower limb joint angles using surface electromyography (sEMG) signals, enhanced by an improved sparrow search algorithm (ISSA) and hybrid kernel extreme learning machine (HKELM), which achieved 11 citations. He also pioneered a distributed plantar pressure sensing system for accurate ankle moment estimation, offering a practical alternative to bulky optical motion capture systems, garnering 9 citations. These innovations directly address critical challenges in exoskeleton motion control and patient rehabilitation monitoring. Du’s work is notable for its emphasis on real-time, wearable solutions that bridge the gap between biological signals and robotic actuation. With his recent publications in 2024 already gaining traction, he is establishing himself as a promising voice in the quest for intuitive, human-centered robotic assistance.
Research Focus
Key Achievements
Top Papers
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- 2