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KAIST, Daejeon, South Korea
Human movement involves complex interactions among neuronal control, musculoskeletal dynamics, and the environment. Using forward dynamics simulations with realistic joint models, we analyze gait control and internal biomechanical forces. This research advances joint injury prevention in healthcare and sports while informing the design of bipedal and exoskeleton robots.
Abnormal movements in human joints can trigger a degenerative process by altering mechanical stresses in soft tissues and on bone surfaces. To accurately measure three-dimensional joint motion in patients, we have developed a dual X-ray fluoroscopic imaging system. This system is utilized to gain insights into abnormal joint movements and to assess changes resulting from surgical interventions.
본 연구실에서는 인체 근골격 운동의 원리와 정형외과적 근골격 문제의 원인을 이해하기 위한 연구를 진행합니다. 다물체 동역학에 기반한 인체 전신 근골격 동역학 모델과, 신경근육 운동 제어 회로, 이에 포함할 수 있는 해부학적 관절(무릎, 족부) 모델을 개발합니다. 역동역학 계산 기술을 이용하여 인체 운동 시 근육힘 및 관절 접촉힘을 예측하고 관절 부상의 원리 및 치료 방법을 연구합니다. AI 순동역학 기반 인체 운동 생성 기술을 연구하고, 이를 이용하여 인체 내외부 환경 변화에 따른 인체 근골격계의 운동과 운동역학 변화와, 외골격 장치를 이용한 인체 운동 보조 방법을 연구합니다. 관절을 이루는 골격들이 상호 운동하는 형상을 정밀하게 측정하는 엑스선 영상 기술을 개발하고, 이를 이용한 최적의 인공관절 및 관절 수술 기구물의 형상을 연구합니다.
응용분야 예
평지/계단의 보행 중 인체 무릎/족부 관절이 받는 하중 계산 및 무릎/족부 주위 근육 및 인대에 작용하는 힘 예측 (역동역학 기술)
무릎/족부 인대 손상/재건, 절골술 등 관절 부상/수술에 따른 인체 운동 중 관절 하중 변화 예측 (역동역학/순동역학 하이브리드 기술)
빙판길/험로/산악 지형 등 외부 환경 변화에 따른 인체 운동 안정성 예측 (AI 순동역학 기술)
근골격 질환/노화/성별 등 인체 내부 환경 변화/차이에 따른 인체 근골격 운동 변화/차이 예측 (AI 순동역학 기술)
외골격을 이용한 인체 운동 보조 시 근골격 에너지 계산을 이용한 최적 보조 방법 개발 (AI 순동역학 기술)
인공관절의 형태/기능 변화에 따른 관절의 운동 변화 측정 (두방향 고속엑스선 관절운동 분석 기술)
In this laboratory, we conduct research to understand the principles of human musculoskeletal movement and the causes of orthopedic musculoskeletal problems. We develop a whole-body human musculoskeletal dynamic model based on multi-body dynamics, neuromuscular control circuit and anatomical joint models (knee and foot) that can be included in it. Using inverse dynamics calculation techniques, we predict muscle forces and joint contact forces during human movement and study the principles of joint injuries and its treatments. We research human motion generation technology based on AI reinforcement learning and use this technology to study the changes in musculoskeletal system movement and movement dynamics due to changes in internal and external human environmental conditions, as well as methods to assist human movement using exoskeleton devices. We develop X-ray imaging technology that accurately measures the shapes in which the skeletons that make up the joint move, and study the optimal shape of artificial joints and joint surgery tools using this technology.
Example Applications:
Calculation of loads on the human knee and foot joints during walking on flat surfaces or stairs, and prediction of forces acting on the muscles and ligaments around the knee and foot (Inverse dynamics technology).
Prediction of changes in joint loads during human movement due to knee and foot ligament injuries/reconstruction, osteotomy, and other joint injuries/surgeries (Hybrid inverse/forward dynamics technology).
Prediction of human movement stability in response to changes in external environments, such as icy roads, rough terrains, or mountainous terrains (AI Forward dynamics technology).
Prediction of changes or differences in human musculoskeletal movement due to musculoskeletal diseases, aging, gender, and other internal human environmental changes/differences (AI Forward dynamics technology).
Development of optimal assistance methods by calculating musculoskeletal energy during human movement assistance using exoskeletons (AI Forward dynamics technology).
Measurement of joint movement changes due to changes in the shape/function of artificial joints (Dual high-speed X-ray joint motion analysis technology)
2026.08.01 Group joined IEEE BioRob 2026. Jonghyun presented posters; Prof. Koo delivered an invited talk and joined a panel.
2026.07.11 Group attended WCB 2026. Jeongseok, Gunwoo, and Kyubin presented posters; Prof. Koo gave a talk and co-moderated.
2026.04.23 Group joined KSME Bioengineering 2026. Jonghyun and Jeongha presented; Jeongha won the Best Paper Award.
2026.04.23 Jeongseok Oh received the KSME Best PhD Thesis Award for his research on ACL reconstructions using bi-planar fluoroscopy.
2026.04.20 Gunwoo Park and Kyubin Chun presented research posters at NCM 2026 in Kobe, Japan.
2026.02.20 Warm congratulations to our graduates: Jeongseok (Ph.D.), Hyeyoung, Minseung, Juhyeop, and Kyubin (M.S.)!
2025.07.29 Jeongseok Oh won the Clinical Biomechanics Award at ISB 2025 in Stockholm and gave a plenary presentation.
2025.07.11 Prof. Koo gave an invited talk on joint mechanical stress changes at the SNUH Musculoskeletal Research Symposium.
2025.05.21 Prof. Koo received a Certificate of Appreciation from KSME for his service as JMST Associate Editor.
2024.12.14 Team MSKBioDyn2024 won 1st place in the NeurIPS 2024 MyoChallenge locomotion track and presented at the workshop.
2024.11.08 Our group gave six presentations, including an invited talk by Prof. Koo, at the KSME Annual Meeting.
2024.09.26 Prof. Koo received the JMST Outstanding Contribution Award for his work as Associate Editor.
2024.08.31 Hyeyoung Kong and Kyubin Chun presented at the KSB meeting; Kyubin received the Best Paper Award.
2024.07.01 Seungwoo Yoon and Jeongseok Oh presented research posters at ESB 2024 in Edinburgh, UK.
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MSKBioDyn Lab introduction taken September, 2022
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