4 papers
Inertial Human Motion Capture: From Biomechanics to Recent Sensor Fusion Methods and Back
Manon Kok, Ive Weygers, Hassan Osman +4
Inertial measurement units (IMUs) are a promising means to capture human motion, yet obtaining meaningful biomechanical quantities from IMU measurements remains non-trivial. This t…
Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction
Ruiyuan Li, Ajay Seth, Manon Kok
State-space models are traditionally based on physical knowledge, but multi-step predictions from these physical models can be poor due to model inaccuracy. Black-box deep learning…
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
Cuong Le, Viktor Johansson, Manon Kok +1
Human motion capture from monocular videos has made significant progress in recent years. However, modern approaches often produce temporal artifacts, e.g. in form of jittery motio…
A Tightly Coupled IMU-Based Motion Capture Approach for Estimating Multibody Kinematics and Kinetics
Hassan Osman, Daan de Kanter, Jelle Boelens +2
Inertial Measurement Units (IMUs) enable portable, multibody motion capture (MoCap) in diverse environments beyond the laboratory, making them a practical choice for diagnosing mob…