Papers
7
Total Citations
55
H-Index
5
About
Hyun-Jun Hyung is a leading researcher in human-robot interaction, specializing in the expressive capabilities of android robots. His work centers on three key areas: facial expression generation, lip-sync systems for natural communication, and motion generation for lifelike behavior. Hyung’s major contributions include developing a probabilistic model for generating natural facial expressions on android faces, which addresses the challenge of replicating human-like nonverbal cues. He further optimized these expressions using genetic algorithms, tailoring them to the unique mechanical constraints of each robot. His research on lip-sync factors, grounded in the Hangul vowel triangle chart, demonstrated that precise mouth shapes and timing are critical for effective communication, with studies showing that people can guess words from lip movements alone. Hyung’s impact is evident in his most-cited work, “Facial Expression Generation of an Android Robot based on probabilistic Model” (16 citations), and “Optimizing Android Facial Expressions Using Genetic Algorithms” (12 citations). Notably, he pioneered an egocentric teleoperation approach and a video-based method for generating robot motion from human demonstrations, advancing android robots for arts performances. Hyung’s work bridges engineering and psychology, making him a key figure in creating more believable and engaging social robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimizing Android Facial Expressions Using Genetic Algorithms12 citations · 2019
- 3Analysis of android robot lip-sync factors affecting communication9 citations · 2016
- 4Egocentric teleoperation approach6 citations · 2017
- 5
- 6Evaluation of a Korean Lip-sync system for an android robot4 citations · 2016
- 7Analysis of Android Robot Lip-Sync Factors Affecting Communication3 citations · 2016