Hironori Takimoto

National Institute of Technology, Sasebo College, Okayama Prefectural University

Papers

Total Citations

H-Index

About

Hironori Takimoto is a robotics researcher focused on creating intuitive, natural interfaces for human-robot interaction. His work centers on enabling machines to perceive and respond to human presence and intent without requiring special gadgets or controllers. Takimoto’s major contributions lie in developing vision-based systems for human tracking and gesture recognition. His most cited work, "A human tracking mobile-robot with face detection" (2009, 19 citations), pioneered a method for robots to follow individuals using simple web cameras and skin-color detection, a foundational step for autonomous assistance. He further advanced human-robot communication with "Classification of hand postures based on 3D vision model for human-robot interaction" (2010, 15 citations), which proposed a robust hand posture recognition system that overcomes the limitations of data gloves and 3D scanners by using a 3D vision model. Takimoto’s research also explores ambient intelligence, as seen in "Robust fingertip tracking for constructing an intelligent room" (2012, 4 citations), where he developed a method for detecting user intention through natural hand movements in watch-over systems. His cumulative work, with over 38 citations, demonstrates a consistent drive toward seamless, non-intrusive human-machine collaboration, making him a notable contributor to the fields of mobile robotics and intelligent environments.