H. Oikawa
Papers
2
Total Citations
39
H-Index
2
About
H. Oikawa is a pioneering researcher in human-robot interaction, specializing in affective computing and multi-modal communication systems. Their work bridges the gap between robotic perception and human emotional expression, with a particular focus on creating more intuitive and empathetic machines. Oikawa's most influential contribution is the development of a fuzzy inference-based system for robotic facial expression, published in 2009, which has garnered 26 citations. This research maps human emotional states onto a pleasure-arousal space, enabling an "eye robot" to display nuanced mental states that humans can intuitively understand. Building on this, Oikawa advanced gesture recognition by fusing data from 3D acceleration sensors and camera images, achieving real-time emotion detection with 13 citations. This multi-modal approach allows robots to interpret both deliberate gestures and subtle emotional cues, making human-robot communication more natural and responsive. Oikawa's work is foundational for developing socially aware robots capable of casual, non-verbal interaction, and their methods remain influential in the fields of affective computing and intelligent robotics.
Research Focus
Key Achievements
Top Papers
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