Software Open Access

The Variational Coupled Gaussian Process Dynamical Model

Dmytro Velychko; Benjamin Knopp; Dominik Endres

Code and data associated with the following publications:

Velychko, D., Knopp, B. and Endres D. (2017). The coupled variational Gaussian process dynamical model. In Proceedings of the 27 International Conference on Artificial Neural Networks,pages 1–9.

Velychko, D., Knopp, B. and Endres D. (2016). The variational coupled Gaussian process dynamical model (Abstract). NIPS Workshop on Neurorobotics.

The zip file contains training data ('walking_movement.bvh') and code to train vCGPDMs and produce artificial movements which were used as stimuli for the psychophysical experiment.  Additional information is provided in the README file.

Files (9.1 MB)
Name Size
9.1 MB Download
All versions This version
Views 1915
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 1715
Unique downloads 00


Cite as