Papers
1
Total Citations
16
H-Index
1
About
Jigui Zheng is a leading researcher in the field of rehabilitation robotics and human–machine interaction, with a primary focus on lower limb motion intention recognition. His most-cited work, "Multi-Channel sEMG Based Human Lower Limb Motion Intention Recognition Method," has garnered 16 citations and addresses a critical challenge in exoskeletal robot control: accurately decoding human movement intent from surface electromyography (sEMG) signals. Zheng’s key contribution lies in developing a robust method that employs cepstrum distance to automatically detect sEMG signal endpoints, significantly improving the reliability of motion prediction for assistive devices. This work has direct implications for advancing prosthetic and exoskeleton technologies, enabling more natural and responsive human–robot collaboration. By bridging the gap between neural signals and mechanical actuation, Zheng’s research enhances the quality of life for individuals with mobility impairments. His innovative approach to signal processing and intention recognition continues to influence the design of intelligent wearable robotics, making him a notable figure in biomechatronics and rehabilitation engineering.
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