MotionLab: A Matlab toolbox for extracting and processing
experimental motion capture data for neuromuscular simulations



Anders Sandholm Nicolas Pronost Daniel Thalmann
Ecole Polytechnique Fédérale de Lausanne Ecole Polytechnique Fédérale de Lausanne Ecole Polytechnique Fédérale de Lausanne
Virtual Reality Lab Virtual Reality Lab Virtual Reality Lab



Visualization of muscle activation during a crouch motion
blue: rested, red: activated


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}
}