Yo-Jen Tu

Papers

Total Citations

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About

Yo-Jen Tu is a researcher specializing in human-computer interaction (HCI), computer vision, and gesture recognition technologies. Their work focuses on developing innovative methods for enabling more natural and intuitive communication between humans and machines, moving beyond traditional input devices toward camera-based interaction systems. Tu's most significant contributions center on the integration of facial recognition and gesture-based control systems. Their 2013 paper, "Human Computer Interaction Using Face and Gesture Recognition," which has garnered 25 citations, introduced a pioneering single-camera HCI framework that combines head pose estimation and hand gesture recognition to control equipment. Building on this foundation, their 2015 follow-up work further refined these techniques, demonstrating the ability to precisely identify facial landmarks — including eye and mouth positions — to estimate head orientation and enable gesture-driven system control. With a combined citation count of 37 across their key publications, Tu's research has made a meaningful impact in the computer vision and HCI communities. Their work is particularly relevant to researchers and developers exploring accessible, hands-free interfaces, with potential applications in assistive technology, robotics, and smart device control. Students entering the field of gesture-based interaction will find Tu's methodologies a valuable foundational reference.