Seungbum Koo
Korea Advanced Institute of Science and Technology · 医学
研究室紹介
Professor Seungbum Koo's research lab specializes in computational biomechanics and musculoskeletal modeling, focusing on the biomechanics of the human knee, gait analysis, and osteoarthritis progression. The lab develops patient-specific musculoskeletal models and advanced simulation techniques—such as finite-element and forward dynamics simulations—to investigate joint contact forces, cartilage degeneration, and gait variability. It also explores emerging technologies like augmented reality for cultural heritage applications and integrates machine learning with motion analysis to assess gait uniqueness and individual identification. The lab bridges clinical imaging, computational modeling, and human movement science to improve understanding of joint health and mobility disorders.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15We examined the relationship between specific gait changes after anterior cruciate ligament injury and the progression of osteoarthritis at the knee. The study was done using a finite-element model derived from subject specific three-dimensional cartilage volumes created from magnetic resonance images. Cartilage thinning was predicted using an iterative algorithm based on the octahedral shear stress. Simulations were done for a knee with normal alignment and for a knee with an internal tibial ro
In this article, the design, development, and evaluation of augmented reality (AR)-based mobile application for a tour guide are discussed. The objectives of this article are twofold. First, the research focuses on the development of a complete working set of a mobile tour application furnished with AR. For such an application to be successfully adopted by the general public, user requirements and application usability are investigated, and the application is designed and implemented to fulfill
Joint contact forces measured with instrumented knee implants have not only revealed general patterns of joint loading but also showed individual variations that could be due to differences in anatomy and joint kinematics. Musculoskeletal human models for dynamic simulation have been utilized to understand body kinetics including joint moments, muscle tension, and knee contact forces. The objectives of this study were to develop a knee contact model which can predict knee contact forces using an
Gait, the style of human walking, has been studied as a behavioral characteristic of an individual. Several studies have utilized gait to identify individuals with the aid of machine learning and computer vision techniques. However, there is a lack of studies on the nature of gait, such as the identification power or the uniqueness. This study aims to quantify the uniqueness of gait in a cohort. Three-dimensional full-body joint kinematics were obtained during normal walking trials from 488 subj