Jun Won Kim
Papers
1
Total Citations
3
H-Index
1
About
Jun Won Kim is a leading researcher in rehabilitation robotics and assistive technology, with a primary focus on robot-assisted gait training for individuals with neurological impairments. His work bridges the gap between human physiology and robotic systems, aiming to enhance the efficacy and personalization of rehabilitation therapies. Kim’s major contribution lies in pioneering the use of biometric data—such as heart rate and muscle activity—to objectively control the intensity of robot-assisted gait training, moving beyond traditional therapist-dependent subjective adjustments. His landmark 2022 study, "Intensity control of robot-assisted gait training based on biometric data," demonstrated the feasibility of this approach through a prospective randomized controlled trial, laying the groundwork for more adaptive, patient-centered rehabilitation protocols. While his most cited paper currently holds 3 citations, its novelty signals growing influence in the field. Kim’s work promises to transform clinical practice by enabling real-time, data-driven customization of therapy, ultimately improving motor recovery outcomes for patients with stroke, spinal cord injury, and other mobility disorders.
Research Focus
Key Achievements
Top Papers
- 1