Abstract :

During the last years several neuromuscular simulation platforms have been developed, from commercial tools to open-source based solutions to pure in-house solutions which are not public available. A major problem in running neuromuscular simulations in any of these tools are that there exist an infinitive number of motion capture laboratory setups. In this paper, the authors present a Matlab toolbox that provides a solution for this problem. The toolbox can easily be setup for any new experiment with minimal changes to the simulation environment. The toolbox provides powerful pre-simulation features such as filtering, markers evaluations and calculations of new marker setups. After that a simulation has been performed, results can be read back and several post-simulation features are available to validate the simulation.

Keywords :

Motion capture - Force platform - Gait - Neuromuscular simulation - EMG analysis - Filtering

Paper :
Author-created version :
The original publication is available at www.springerlink.com

For any inquiries regarding the MotionLab toolbox (download etc.), please contact the first author

BibTeX :

@inproceedings{SPT09,
author = {A. Sandholm and N. Pronost and D. Thalmann},
title = {MotionLab: A Matlab toolbox for extracting and processing experimental motion capture data for neuromuscular simulations},
booktitle = {Proceedings of the Second 3D Physiological Human Workshop (3DPH) 2009, Lecture Notes in Computer Science},
year = {2009},
month = dec,
volume = {5903}
}