Seok-Man Sohn
Papers
1
Total Citations
7
H-Index
1
About
Seok-Man Sohn is a researcher advancing the field of human motion analysis through computational methods. His primary research areas include three-dimensional (3D) skeleton motion data processing, spatial-temporal information modeling, and directed graph-based refinement techniques. His most notable contribution is the development of a directed graph-based framework that refines 3D human motion data by leveraging spatial-temporal information, addressing the growing need to accurately convert human motion into digital representations for applications in human body research, animation, and biomechanics. This work, published in 2024, has already garnered 7 citations, signaling its early impact and relevance in the field. Sohn’s approach enhances the fidelity of motion capture data by improving the structural coherence of pose sequences over time, making it a valuable tool for researchers working with complex motion datasets. His contributions are particularly significant for advancing digital human modeling and interactive systems, positioning him as an emerging voice in computer graphics and motion analysis.
Research Focus
Key Achievements
Top Papers
- 1