DaoHui Zhang
Papers
2
Total Citations
9
H-Index
2
About
DaoHui Zhang is a researcher advancing the frontiers of human–machine interaction, with a focus on assistive robotics and novel human–computer interfaces. Their work centers on developing intuitive, non-invasive control systems that empower individuals with physical limitations. A key contribution is the introduction of a **limbs-free Face-Computer Interface (FCI)**, which uses facial electromyography (fEMG) signals to enable communication and control for people with impaired or weakened limbs, addressing a critical gap in accessibility. Zhang further extended this expertise into robotic telemanipulation, proposing an **EMG-driven strategy-assisted shared control method** that seamlessly blends user intent with autonomous robotic assistance. This work, published in 2024, has already garnered 6 citations, reflecting its timely relevance. With a total of 9 citations across their most-cited papers, Zhang’s research is gaining traction for its practical impact on rehabilitation and assistive technology. By optimizing fEMG channel selection and integrating bio-signals into shared control frameworks, Zhang is paving the way for more natural, efficient, and inclusive human–robot collaboration—a promising direction for next-generation prosthetics and teleoperation systems.
Research Focus
Key Achievements
Top Papers
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- 2