In Hun Jang

Korea Institute of Industrial Technology

Papers

Total Citations

H-Index

About

In Hun Jang is a researcher specializing in rehabilitation robotics, with a particular focus on exoskeleton systems and assistive technologies for stroke recovery and mobility impairment. His work sits at the intersection of robotics, human-machine interaction, and clinical rehabilitation, addressing the critical challenge of enabling robotic systems to respond intelligently to user intent. Jang's most notable contribution lies in developing hybrid control methods for exoskeleton robots used in gait rehabilitation. His 2012 paper, which has garnered 6 citations, tackled the fundamental problem of intention recognition in rehabilitation robotics — enabling machines to detect both *when* and *what* a patient wants to move, creating a more natural and responsive therapeutic experience for stroke survivors. This work represents a meaningful step toward patient-driven, rather than machine-driven, rehabilitation paradigms. Complementing this, his earlier 2011 research explored crutch gait pattern recognition through feature extraction techniques, further demonstrating his commitment to intelligent motion analysis for robotic orthoses. While still an emerging body of work, Jang's research addresses genuinely pressing challenges in assistive technology, with direct implications for improving quality of life and recovery outcomes for individuals with neurological and mobility impairments.