Moon Suk Bang
Seoul National University Hospital, Seoul National University
Papers
7
Total Citations
141
H-Index
5
About
Moon Suk Bang is a leading researcher in assistive robotics and brain-machine interfaces (BMI), with a focus on restoring motor function for individuals with disabilities. Her work bridges non-invasive neural signal processing and robotic hardware design to create practical, user-centered assistive technologies. Bang’s most cited study (2015, 41 citations) pioneered the prediction of three-dimensional robot arm trajectories from non-invasive neural signals, demonstrating a viable alternative to invasive BMI approaches. She further advanced the field by developing a vision-aided BMI training system for robotic arm control, successfully tested on two patients with cervical spinal cord injury (2019, 20 citations). Bang has also made significant contributions to rehabilitation robotics through motion characterization using inertial measurement units (IMU) for activities of daily living (2019, 33 citations) and by investigating user perspectives on external robotic arms versus upper limb exoskeletons (2019, 20 citations). Her work on path planning algorithms for autonomous electric wheelchairs (2020, 20 citations) extends her impact to mobility assistance. With over 140 total citations, Bang’s research is notable for its emphasis on user needs and clinical applicability, making her a key figure in the development of non-invasive, accessible assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 4Path Planning Algorithm for an Autonomous Electric Wheelchair in Hospitals20 citations · 2020
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