Jiman Kim

Pohang University of Science and Technology

Papers

Total Citations

H-Index

About

Jiman Kim’s research centers on human-computer interaction and computer vision, with a specialized focus on hand gesture recognition for musical applications. His pioneering work bridges the gap between human expression and robotic systems, particularly in the domain of conducting. His most influential paper, “Hand Gesture Recognition To Understand Musical Conducting Action” (2007), has garnered 32 citations and introduces a method for interpreting four distinct musical time patterns and three tempos from a conductor’s gestures. This system uses only a stereo vision camera, eliminating the need for special devices, and enables intuitive control of robot orchestras or computer-based music playback. A related study from the same year extends this approach, further refining gesture-based tempo and pattern recognition. Kim’s contributions are notable for their practical impact on interactive music systems and robotic performance, offering a natural, vision-driven interface that enhances human-robot collaboration. His work stands as a foundational step in gesture-controlled musical technology, inspiring subsequent advances in non-verbal human-robot communication and real-time gesture analysis.