Papers
16
Total Citations
339
H-Index
9
About
Hideki Ueno is a researcher whose career spans two remarkably distinct domains: human-robot interaction (HRI) and surgical oncology. In his earlier work throughout the mid-2000s, Ueno made significant contributions to vision-based gesture recognition systems, developing methods that enabled natural, glove-free communication between humans and robots. His pioneering papers — including "Real-time Vision-based Gesture Recognition for Human Robot Interaction" (2005, 87 citations) and "Adaptive Visual Gesture Recognition for Human–Robot Interaction" (2007, 60 citations) — introduced skin-color segmentation, PCA-based pattern matching, and knowledge-based software platforms that became influential frameworks in the HRI community. His work on eye tracking (2004, 33 citations) further broadened the scope of intuitive human-machine interfaces. Later in his career, Ueno pivoted toward clinical research, contributing to gastrointestinal and pancreatic cancer studies. His work on survival prediction biomarkers for gemcitabine-treated pancreatic cancer patients (2010, 35 citations) and analyses of national surgical databases reflect a commitment to improving patient outcomes. His 2024 review on locally advanced colorectal cancer surgical therapies demonstrates continued engagement with cutting-edge clinical practice. Ueno's interdisciplinary trajectory makes him a uniquely versatile figure across engineering and medical research communities.
Research Focus
Key Achievements
Top Papers
- 1Real-time Vision-based Gesture Recognition for Human Robot Interaction87 citations · 2005
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- 4On Tracking of Eye for Human-Robot Interface33 citations · 2004
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- 6Gesture based human-robot interaction using a frame based software platform25 citations · 2005
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