In this paper, a methodology to generate realistic gait patterns is presented. Human gait motion capture data is used along with a kinematic model of the human lower extremity to derive a parametric and time-continuous analytical description of the walking motion. This allows for reproduction of individual recorded gait cycles and for generating new artificial gait cycles. A data pool of about 5700 reproduced gait cycles from 120 participants walking at different velocities is used to generate trajectories of human lower limb joints. Walking motions of simulated male or female persons can thus be synthesized with a prescribed gait speed. The method shall serve as scientific basis for research focused on rehabilitation, motion assistance and simulations.
Generation of Parametric Gait Patterns
Springer Proceedings in Advanced Robotics
International Symposium on Advances in Robot Kinematics ; 2022 ; Bilbao, Spain June 26, 2022 - June 30, 2022
2022-06-18
8 pages
Article/Chapter (Book)
Electronic Resource
English
Generation of Parametric Gait Patterns
TIBKAT | 2022
|Adaptive Gait Pattern Generation of Biped Robot based on Human's Gait Pattern Analysis
BASE | 2007
|Emotional gait generation for a humanoid robot
British Library Online Contents | 2010
|Embodiment of sadness and depression--gait patterns associated with dysphoric mood.
BASE | 2017
|