@inproceedings{6c51fd92ddbf455dbfc9e2dfe3582d35,
title = "Generation of Parametric Gait Patterns",
abstract = "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.",
author = "Jakob Ziegler and Hubert Gattringer and Andreas M{\"u}ller",
year = "2022",
doi = "10.1007/978-3-031-08140-8\_41",
language = "English",
isbn = "978-3-031-08139-2",
volume = "24",
series = "Springer Proceedings in Advanced Robotics",
publisher = "Springer Nature Switzerland AG",
pages = "375--382",
editor = "Oscar Altuzarra and Andr{\'e}s Kecskem{\'e}thy",
booktitle = "Advances in Robot Kinematics 2022",
}