Papers
1
Total Citations
11
H-Index
1
About
Yijia Li is a researcher at the intersection of human-robot interaction, virtual reality, and traditional medicine, with a focus on developing intuitive, mobile interfaces for medical training and simulation. Their most notable contribution is a novel mobile natural human-robot interaction method for virtual Chinese acupuncture, which overcomes the limitations of stationary systems by enabling operators to move freely while interacting naturally with a virtual patient. This work, published in 2022 and garnering 11 citations, integrates automatic hand tracking with robotic feedback to create a more immersive and practical teaching tool for acupuncture practitioners. By bridging ancient medical techniques with cutting-edge robotics and VR, Li’s research addresses a critical gap in medical education—allowing learners to practice complex procedures in a large, unconstrained space without the need for physical patients. This innovation not only enhances the realism of virtual training but also paves the way for broader applications in telemedicine and remote surgical instruction. Li’s work stands out for its creative fusion of cultural heritage and modern technology, offering a scalable solution that could transform how traditional medical skills are taught and preserved globally.
Research Focus
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Top Papers
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