Mu-Seong Mun

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About

Mu-Seong Mun is a leading figure in assistive robotics and human–machine interaction, with a career dedicated to restoring mobility and independence for individuals with physical disabilities. His work spans intelligent wheelchair systems, advanced prosthetic hands, and robotic gait assistance for the elderly. Mun’s most influential contribution is his 2004 paper on an intelligent robotic wheelchair, which integrates electromyogram (EMG) signals, facial gestures, and voice commands into a seamless human–computer interface. With 75 citations, this work laid the foundation for non-invasive, multi-modal control of assistive mobility devices, enabling users to navigate intuitively. He further advanced prosthetic technology by developing a myoelectric hand with a two-degree-of-freedom auto-wrist module, replicating six essential human hand functions while prioritizing practicality over complexity. In the domain of elderly care, Mun proposed a control system for a gait-assistant robot that analyzes center of pelvis movement and base of support to adaptively support walking. His research consistently bridges engineering innovation with real-world usability, making assistive technologies more accessible and effective. Through these contributions, Mun has significantly shaped the fields of rehabilitation robotics and human–robot interaction, improving quality of life for diverse user populations.