Forensic Gait Analysis
Forensic Gait Analysis
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Gait analysis quantitatively evaluates human movement to understand walking patterns, aiding in diagnosis, rehabilitation, and performance enhancement. Our lab develops advanced gait analysis algorithms, investigates gait characteristics for early detection of mobility impairments, and analyzes prosthetic gait. We strive to deepen biomechanical insights and expand clinical and industrial applications of gait research.
On Going Works
Modal Analysis - driven Gaussian Process for a Gait Prameters Estimation and Individuals' classification from CCTV and smartphone camera footages
Utilizing CCTV and smartphone camera footage, we develop machine learning models to estimate gait parameters and classify individuals based on movement patterns.
Combining data from motion capture cameras, IMU sensors, and computer vision techniques, we enhance the accuracy of gait assessment in both indoor and outdoor environments.
Implementation of data-driven methodologies for accurate and efficient gait evaluation using machine learning.
Related Publications
Cycling kinematics in healthy adults for musculoskeletal rehabilitation guidance
Haeun Yum, Hyang Kim, Taeyong Lee, Moon Seok Park, Seung Yeol Lee
Dynamic measurement of surface strain distribution on the foot during walking
Kohta Ito, Kosuke Maeda, Ikumi Fujiwara, Koh Hosoda, Takeo Nagura, Taeyong Lee, Naomichi Ogihara
The biomechanical effects of split-sole shoes on normal walking
Jee Chin Teoh, Taeyong Lee
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