Jiaqi Ji
Papers
1
Total Citations
2
H-Index
1
About
Jiaqi Ji is a researcher at the intersection of computer vision, human motion analysis, and digital health, with a particular focus on 3D human pose estimation from video. Their most cited work, "A Method for 3D Human Pose Estimation and Similarity Calculation in Tai Chi Videos" (2023), addresses a critical limitation in existing pose estimation methods—namely, the low accuracy caused by varying human movement speeds when analyzing individual frames. By developing a technique tailored to the fluid, continuous motions of Tai Chi, Ji has contributed to making pose estimation more robust for complex, real-world physical activities. Although early in their career, with this paper accumulating 2 citations, the work signals a promising direction for applications in sports science, rehabilitation, and human-robot interaction. Ji’s research holds potential for advancing how machines understand and replicate nuanced human movement, bridging the gap between computer vision and practical, health-oriented domains.
Research Focus
Key Achievements
Top Papers
- 1