Zeyu Yin

Papers

Total Citations

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About

Zeyu Yin is a leading researcher in rehabilitation robotics and human–machine interaction, with a core focus on locomotion pattern recognition for exoskeleton systems. His most-cited work, “SA-SVM-Based Locomotion Pattern Recognition for Exoskeleton Robot” (2021, 30 citations), introduces a novel support vector machine algorithm enhanced by simulated annealing to accurately classify human gait states—a critical step for enabling exoskeletons to seamlessly assist walking in patients with mobility impairments. This contribution directly addresses the challenge of real-time, adaptive control in wearable robotic devices, improving both safety and natural movement. Beyond this paper, Yin’s research spans sensor fusion, intent detection, and control strategies that bridge the gap between human physiology and machine actuation. His work has been recognized for its practical impact on assistive technology, particularly in clinical rehabilitation settings. With a growing citation record and a focus on translating algorithmic advances into tangible patient benefits, Zeyu Yin is shaping the future of intelligent, human-centered exoskeletons.