Chern‐Sheng Lin

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About

Chern-Sheng Lin is a researcher whose work bridges biomedical engineering, human-computer interaction, and robotics. His key research areas include eyeball tracking, gesture recognition, and multi-sensor robotic control. Lin’s major contributions center on developing innovative, real-time systems that enhance human-machine communication. His most cited paper, "The method of diagonal-box checker search for measuring one's blink in eyeball tracking device" (1998, 17 citations), introduced a novel algorithm for blink detection, advancing assistive technologies for individuals with motor impairments. In more recent work, Lin explored the manipulation of a real-time Kinect-based robotic arm using double-hand gestures (2020, 7 citations), demonstrating how depth sensors can enable intuitive, contactless control of robotic systems. He also contributed to the remote cruise method for robots with multiple sensors (2018, 7 citations), enhancing autonomous navigation through sensor fusion. With a career spanning over two decades, Lin’s research has been cited in fields ranging from rehabilitation engineering to human-robot interaction, reflecting his lasting impact on practical, sensor-driven technologies. His work continues to inspire new approaches in interactive robotics and biomedical instrumentation.