Papers
1
Total Citations
4
H-Index
1
About
Xiaoyu Yan is a pioneering researcher in assistive robotics and human-computer interaction, with a focus on restoring independence for individuals with severe motor impairments. His most cited work, "Empowering High-Level Spinal Cord Injury Patients in Daily Tasks With a Hybrid Gaze and FEMG-Controlled Assistive Robotic System" (2024, 4 citations), introduces a novel hands-free interface that combines eye-tracking with facial electromyography (FEMG) signals. This hybrid system enables patients with high-level spinal cord injuries to perform essential daily activities—such as grasping objects or operating devices—without relying on limb movement. Yan’s major contribution lies in seamlessly integrating multiple biosignal modalities to create a more intuitive and reliable control paradigm, addressing a critical gap in assistive technology. While his citation count is still growing, the work’s immediate relevance to clinical rehabilitation and human-robot interaction underscores its potential impact. Yan’s research exemplifies a user-centered approach, prioritizing real-world applicability for vulnerable populations. His achievements highlight a commitment to bridging engineering innovation with tangible improvements in quality of life, making him a notable emerging voice in the field of assistive robotics.
Research Focus
Key Achievements
Top Papers
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