Published October 9, 2023 | Version v1
Dataset Open

SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data

  • 1. Universitat Politècnica de Catalunya
  • 2. University of Cyprus and CYENS Centre of Excellence

Description

Data used for the paper SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data

It contains over 1GB of high-quality motion capture data recorded with an Xsens Awinda system while using a variety of VR applications in Meta Quest devices.

Visit the paper website!

 

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

@article{10.1145/3625264, author = {Ponton, Jose Luis and Yun, Haoran and Aristidou, Andreas and Andujar, Carlos and Pelechano, Nuria}, title = {SparsePoser: Real-Time Full-Body Motion Reconstruction from Sparse Data}, year = {2023}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, issn = {0730-0301}, url = {https://doi.org/10.1145/3625264}, doi = {10.1145/3625264}, journal = {ACM Trans. Graph.}, month = {oct}}

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Additional details

Funding

XR4ED – eXtended Reality for Education 101093159
European Commission
CLIPE – Creating Lively Interactive Populated Environments 860768
European Commission
RISE – Research Center on Interactive Media, Smart System and Emerging Technologies 739578
European Commission