Jong Gyu Shin

Papers

Total Citations

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About

Jong Gyu Shin is a leading researcher at the intersection of wearable robotics, human-robot interaction, and industrial ergonomics. His work focuses on developing intelligent exoskeleton systems that enhance worker safety and performance, particularly through the integration of machine learning for proactive control. Shin’s major contributions include pioneering the use of bio-signal sensors and AI to recognize lower-limb movement sequences, enabling exoskeletons to anticipate and assist with physically demanding tasks like lifting—a breakthrough for injury prevention in industrial settings. His 2023 paper on this topic has garnered 6 citations, reflecting its timely relevance. Additionally, Shin has advanced the field by establishing qualitative usability assessment guidelines for upper-extremity wearable robots, addressing a critical gap in human-robot interaction research. His 2020 study, also with 6 citations, provides a foundational framework for evaluating user experience, safety, and comfort in industrial exoskeletons. By bridging technical innovation with user-centered design, Shin’s work accelerates the commercialization of wearable robots, making them more practical and accessible for real-world applications. His research is essential reading for engineers and designers aiming to create effective, human-friendly robotic assistance systems.