Papers
9
Total Citations
68
H-Index
4
About
Yasue Mitsukura is a pioneering researcher in human-robot interaction, with key contributions spanning face detection, emotion recognition, and assistive robotics. Her work focuses on enabling robots to perceive, track, and respond to humans through vision-based systems and physiological signals. Notably, her 2009 paper on "A human tracking mobile-robot with face detection" (19 citations) established foundational methods for real-time human tracking using skin color and eye detection. She extended this into entertainment robotics, developing systems that estimate head pose and recognize facial expressions to drive autonomous robot behavior. Her research also explores brain-computer interfaces, as demonstrated in her 2018 work on EEG-based robot arm control (11 citations), where she pioneered the use of emotional states to control prosthetic limbs—a significant step toward more natural human-robot collaboration. Additionally, her work on hand posture recognition using 3D vision (15 citations) and age estimation on the AIBO robot showcases her versatility in applying computer vision to diverse robotic platforms. Through these contributions, Mitsukura has advanced the field of socially assistive robots, with her citation record reflecting sustained influence on mobile robot navigation, human sensing, and emotionally adaptive systems.
Research Focus
Key Achievements
Top Papers
- 1A human tracking mobile-robot with face detection19 citations · 2009
- 2
- 3An EEG-based robot arm control to express human emotions11 citations · 2018
- 4An age estimation system on the AIBO9 citations · 2008
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- 7Head pose tracking system using a mobile device3 citations · 2013
- 8
- 9Mobile Robot Photographer2 citations · 2013