Se-Kyung Park
Papers
1
Total Citations
6
H-Index
1
About
Se-Kyung Park is a leading researcher at the intersection of computer vision, deep learning, and digital health, with a primary focus on developing intelligent systems for home fitness and rehabilitation. Her most notable contribution is the creation of a smart trampoline fitness system that uses footprint shadow image processing and deep learning to estimate three-dimensional foot positions in real time. This work, published in 2022 and already garnering 6 citations, addresses the surging demand for home exercise equipment during the COVID-19 pandemic by enabling accurate motion recognition without wearable sensors. Park’s research uniquely combines ICT technologies with health equipment, making muscle strengthening and rehabilitation exercises more accessible and data-driven. By advancing non-invasive, vision-based pose estimation, she is helping to transform ordinary home fitness devices into interactive, intelligent platforms that can track performance and guide proper form. Her work represents a significant step toward personalized, technology-enabled rehabilitation and fitness, with clear implications for both clinical therapy and consumer wellness.
Research Focus
Key Achievements
Top Papers
- 1