Papers
4
Total Citations
43
H-Index
4
About
Shengcai Duan is a pioneering researcher in rehabilitation robotics, specializing in human-robot interaction for lower-limb exoskeletons. His work centers on three key areas: real-time stability control, gait phase classification, and muscle fatigue quantification, all aimed at improving assistive technologies for individuals with motor impairments. Duan’s most cited paper (2021, 17 citations) introduces a real-time stability control method using surface electromyography (sEMG) interfaces, enabling safe gait switching in rehabilitation exoskeletons—a critical step toward practical, everyday use. He further advanced the field by developing a Long Short-Term Memory (LSTM) model for sEMG-based gait phase classification (2020, 10 citations), achieving robust recognition of stand and swing phases with minimal sensors. Duan also explored multimodal interfaces, integrating haptic and visual feedback with motor imagery brain-computer interfaces (BCI) to enhance EEG-based exoskeleton control (2019, 10 citations). His quantifiable muscle fatigue method (2020, 6 citations) addresses a key safety concern in dynamic contractions, offering a novel approach to prevent injury during human-robot interaction. With cumulative citations exceeding 40, Duan’s work is shaping the next generation of intuitive, safe, and responsive exoskeletons for rehabilitation.
Research Focus
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Top Papers
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