구승범 교수
Seungbum Koo
KAIST 기계공학과 · 의학
연구실 소개
구승범 교수의 연구실은 인체의 운동 기계학적 메커니즘과 관절 건강의 상관관계를 심층적으로 분석하는 데 초점을 맞추고 있습니다. 주로 마이크로-스케일의 관절 연골 변화와 보행 패턴의 유일성, 그리고 신체의 에너지 효율성과 근육 공진화의 역할을 수치적 모델링과 신경망 기반 시뮬레이션을 통해 규명하고자 합니다. 특히 MRI 기반 3차원 연골 모델링과 가상현실 기반 관광 어플리케이션 개발을 통해 의료 및 산업 응용까지 확장하는 다학제적 연구를 수행하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
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
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