Chenghang Du

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About

Chenghang Du is a rising researcher in biomedical engineering and human–machine interaction, with a focused interest in decoding neuromuscular signals for assistive and rehabilitative technologies. His primary research area centers on lower limb motion recognition using surface electromyography (EMG), where he develops advanced signal processing techniques to improve the control of intelligent prostheses and wearable robotic systems. In his notable 2025 work, "Lower Limb Motion Recognition Based on Surface Electromyography Decoding Using S-Transform Energy Concentration," Du proposes a novel EMG-based scheme that leverages the S-transform to enhance the energy concentration of muscle signals, enabling more accurate and robust classification of lower limb movements. This contribution addresses a critical challenge in human–computer interaction: achieving seamless, intuitive control of prosthetic devices. While his work is early-stage, with the paper already garnering 2 citations, it signals growing interest in his approach. Du’s research holds promise for advancing neurorehabilitation and assistive robotics, offering a pathway toward more responsive and adaptive prostheses that can significantly improve mobility and quality of life for individuals with limb loss.