Chenlin Ying
Papers
1
Total Citations
3
H-Index
1
About
Chenlin Ying is an emerging researcher whose work sits at the intersection of robotics, artificial intelligence, and sports science. Her primary research focuses on developing intelligent systems that integrate gait recognition algorithms into gaming robots, with the goal of enhancing sports training and rehabilitation assistance. In her most-cited paper, "Application of gaming robot based on gait recognition algorithm in sports training and assistance system" (2024), Ying proposes a novel framework that uses real-time gait analysis to adapt robotic responses, improving both athletic performance and recovery outcomes. This work, which has already garnered 3 citations within its first year, demonstrates her ability to bridge theoretical machine learning with practical, human-centered applications. Ying’s contributions are particularly notable for their potential to transform how athletes and patients interact with assistive technologies, making training more personalized and effective. As a forward-thinking scholar, she is paving the way for more responsive and adaptive robotic systems in sports and healthcare, positioning herself as a rising voice in the field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1