Papers

3

Total Citations

25

H-Index

3

About

Yilu Xia is a researcher at the forefront of human-robot interaction, specializing in gesture recognition, intelligent service robotics, and multimodal signal integration for aerospace and medical applications. Their most cited work introduces a groundbreaking gesture recognition system that combines the YOLOv4 model with an attention mechanism and DeblurGanv2, achieving high inclusiveness and accuracy even with motion-blurred images—a critical advancement for controlling aerospace exploration robots in harsh environments where image degradation is common. This paper has garnered 14 citations, reflecting its impact on real-time, non-contact robotic control. Xia also designed an intelligent medical service robot integrating Raspberry Pi and STM32 microcontrollers, addressing the complexity of hospital workflows with an autonomous system that streamlines patient care, earning 6 citations. Their latest research explores dual-mode information coordination, fusing astronaut gesture and eye movement signals through a hybrid model, pushing the boundaries of intuitive human-machine communication in space missions. With a focus on robust, real-world applications, Xia’s work bridges computer vision, embedded systems, and aerospace engineering, offering practical solutions for remote and demanding environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
High Inclusiveness and Accuracy Motion Blur Real-Time Gesture Recognition Based on YOLOv4 Model Combined Attention Mechanism and DeblurGanv2
14 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Tianjin University of Technology and Education

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago