Dae Ha Kim
Papers
1
Total Citations
24
H-Index
1
About
Dae Ha Kim is a leading researcher in affective computing and human-robot interaction, with a specialized focus on the nuanced domain of facial micro-expression recognition. His most-cited work, "Recognizing Fine Facial Micro-Expressions Using Two-Dimensional Landmark Feature" (2018, 24 citations), addresses a critical challenge in artificial intelligence: enabling social robots and AI systems to detect and interpret the fleeting, subtle emotional cues that are often missed by conventional emotion recognition models. By pioneering the use of two-dimensional landmark features, Kim has advanced the precision of micro-expression analysis, bridging the gap between human emotional subtlety and machine perception. This contribution is foundational for developing more empathetic and responsive AI, particularly in contexts where genuine emotional states are concealed or involuntary. Kim’s research underscores the importance of moving beyond overt expressions to capture the full spectrum of human affect, positioning his work as a key reference for students and researchers exploring the intersection of computer vision, psychology, and human-centered AI. His efforts continue to shape how machines understand and interact with human emotions in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1