Physics infused human motion dynamics and its application in computational wearable design
OA Version
Citation
Abstract
The physical plausibility of human motions is vital to various applications in fields including but not limited to graphics, animation, robotics, vision, biomechanics, and sports science. Human body movements are inherently dynamic, involving complex interactions between the body and its environment. A comprehensive understanding of both kinematics and the underlying physical forces, such as ground reaction force and moment (GRF&M), center of pressure (CoP), joint torque, and body trajectories, is essential for accurately analyzing human movement dynamics. This dissertation introduces methodologies that integrate dynamics into human body movements and its real-world applications. Specifically, it introduces 1) GroundLink, a novel motion capture dataset that pairs high-resolution ground reaction dynamics (GRF and CoP) data with standard kinematic motion capture, enabling more accurate modeling of physically plausible human motion and 2) a motion-driven neural optimization framework for designing personalized prophylactic braces, which leverages biomechanical kinetics and physics-based optimization to develop wearables that enhance joint stability and reduce joint injury risk while preserving natural mobility.
Description
2025
License
Attribution 4.0 International