Xueze Zhang
Papers
2
Total Citations
6
H-Index
2
About
Xueze Zhang is a rising researcher in the field of rehabilitation robotics and human–machine interaction, with a focus on restoring hand function for stroke survivors. Their work centers on two key areas: the design of soft robotic systems for hand rehabilitation and the development of intelligent gesture recognition algorithms using surface electromyography (sEMG) signals. Zhang’s notable contribution includes the design of a soft hand rehabilitation robot capable of multiple training modes, addressing the critical shortage of medical staff by automating repetitive therapy tasks. This work, published in 2022, has already garnered early citations, reflecting its relevance to clinical rehabilitation needs. In parallel, Zhang introduced GTGR-Net, a graph attentional-temporal network that improves sEMG-based gesture recognition by modeling both spatial correlations and temporal dynamics of muscle signals. This innovation enhances the detection of patient motion intent during active rehabilitation, a crucial step for adaptive robotic assistance. Though early in their career, Zhang’s research bridges mechanical design and machine learning, offering practical solutions for stroke rehabilitation. Their work holds promise for advancing assistive technologies that improve quality of life for individuals with hand dysfunction.
Research Focus
Key Achievements
Top Papers
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- 2