Published September 4, 2022 | Version v1
Journal article Open

Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices

  • 1. Universitat Politècnica de Catalunya

Description

Data used for the paper Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices.

Visit the paper website

MMData.zip contains the necessary files to execute the project in Unity. Use only following the instructions on the GitHub project.

MMVR_Dataset.zip contains all .bvh files used for training the orientation prediction network. All files are captured with an Xsens Awinda motion capture system while using Virtual Reality. Visit GitHub for more information.

If you find our data useful, please cite our paper:

@article {10.1111:cgf.14628,
journal = {Computer Graphics Forum},
title = {{Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices}},
author = {Ponton, Jose Luis and Yun, Haoran and Andujar, Carlos and Pelechano, Nuria},
year = {2022},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.14628}
}

Files

MMData.zip

Files (1.2 GB)

Name Size Download all
md5:53a00a89196773aeb33685333c09bb2d
1.0 GB Preview Download
md5:c0f32e235c526bfe6ac2594872cd9e0b
171.8 MB Preview Download
md5:25c18b06e272011450e67a5db1cd229d
16.4 MB Preview Download

Additional details

Funding

CLIPE – Creating Lively Interactive Populated Environments 860768
European Commission