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About

T. Okamoto is a researcher specializing in human-machine interfaces and assistive robotics, with a particular focus on electrooculography (EOG)-based control systems. Their work centers on harnessing biosignals generated by eye movements to enable intuitive, non-invasive control of robotic manipulators — a field with profound implications for individuals living with physical disabilities. Okamoto's most influential contribution, "Rotation Matrix to Operate a Robot Manipulator for 2D Analog Tracking Objects Using Electrooculography" (2014, 20 citations), introduced an elegant mathematical framework using rotation matrices to translate EOG signals into precise 2-DoF robotic movements. This foundational work was subsequently extended in 2018, when Okamoto advanced the methodology to full 3-D robotic control by exploiting five distinct properties of EOG signals, demonstrating a sophisticated deepening of the original approach. Complementing these contributions, Okamoto also explored voluntary blink detection and gaze point estimation as additional control modalities, further expanding the toolkit available for assistive technology design. Collectively, with over 37 citations across four publications, Okamoto's body of work represents a meaningful and focused contribution to biomedical engineering, offering promising pathways toward greater independence and improved quality of life for people with mobility impairments.