Xianghui Zeng

Central South University, Donghua University

Papers

Total Citations

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About

Xianghui Zeng is a leading researcher in flexible electronics and intelligent human-machine interaction systems. His work centers on developing advanced wearable sensors that bridge the gap between physical motion and digital communication. Zeng’s most influential contribution is a machine learning-enabled gesture recognition system using printed strain sensors (2023, 32 citations), which demonstrated how flexible, skin-mountable devices can decode complex hand gestures for real-time communication and control. He further advanced the field with a heterogeneous zebra-patterned ultra-sensitive flexible sensor (2025, 11 citations) that achieves exceptional sensitivity for detecting subtle human motions, from joint movements to muscle vibrations, and even enables intuitive game control. These innovations have significant implications for prosthetics, virtual reality, and assistive technologies. By integrating novel sensor architectures with intelligent algorithms, Zeng has established a framework for creating responsive, comfortable, and practical wearable systems. His work is widely cited for its elegant combination of materials science and machine learning, offering a clear path toward seamless human-machine collaboration in everyday life.