Chen-Hsuan Lee

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Chen-Hsuan Lee is a robotics and biomechanics researcher whose work focuses on the intersection of human motion analysis and bipedal robot stability. His primary research areas include fall detection and prevention, human-robot motion correlation, and wearable sensor technology. Lee's most cited work, "Correlations of falling signals between biped robots and humans with 3-axis accelerometers" (2011), has garnered 4 citations and represents a foundational contribution to understanding how 3-axis accelerometer data from chest-mounted sensors can be used to analyze and predict fall signals. By drawing parallels between human and robotic falling patterns, Lee's research addresses a critical challenge in aging societies: accurate fall detection and prevention. His work bridges the gap between human biomechanics and robotic control systems, offering insights that could improve assistive technologies and autonomous robot safety. While his citation count is modest, Lee's contributions are notable for their interdisciplinary approach, combining sensor data analysis with practical applications in healthcare and robotics. His research continues to inform the development of more responsive fall-prevention systems for both humans and robots.