Mi-Young Nam

Papers

Total Citations

H-Index

About

Mi-Young Nam is a researcher in human-robot interaction and assistive robotics, with a focus on developing intuitive, hands-free control systems for robotic platforms. Her most cited work, "Mouth tracking for hands-free robot control systems" (2014), introduces a novel approach that uses real-time mouth movement detection to enable users—particularly those with limited mobility—to operate robots without manual input. This contribution addresses a critical gap in accessibility, offering a non-invasive, vision-based alternative to traditional joystick or voice controls. While her citation count is modest, the work has been recognized for its potential in rehabilitation and assistive technology, laying groundwork for more inclusive robotic interfaces. Nam’s research bridges computer vision, human factors, and robotics, emphasizing user-centered design to empower individuals with physical disabilities. Her achievements include advancing low-cost, real-time tracking methods that can be integrated into existing systems, making hands-free control more practical and scalable. For students and researchers, her work exemplifies how targeted, application-driven research can directly improve quality of life through technology.