Papers
1
Total Citations
28
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About
Huizi Li is a researcher at the forefront of integrating artificial intelligence with interactive robotics for educational applications, with a particular focus on music perception and pedagogy. Her most-cited work, "Adoption of Artificial Intelligence Along with Gesture Interactive Robot in Musical Perception Education Based on Deep Learning Method" (2022), has garnered 28 citations, reflecting growing interest in her innovative approach. In this study, Li designed a distributed application system that leverages deep learning to interpret user gestures, enabling an interactive robot to respond in real-time within music education settings. Her major contribution lies in bridging human-computer interaction and educational technology, demonstrating how gesture recognition can enhance student engagement and modernize teaching methods. By combining AI-driven analysis with robotic responsiveness, Li’s work offers a practical pathway for making music education more immersive and accessible. Her research speaks to the broader potential of AI to transform creative learning environments, positioning her as a key voice in the emerging field of intelligent, interactive pedagogy.
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Top Papers
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