This dataset refers to the paper Multi-modal pose estimation in XR applications leveraging ISAC.
The dataset includes synchronized CSI, mmWave, and skeleton data collected for extended reality (XR) applications.
If you find this work useful, please cite the original article:
Bhat, N. N. (2023). Multi-modal pose estimation in XR applications leveraging integrated sensing and communication: Dataset [Data set].
ACM Workshop on Mobile Immersive Computing, Networking, and Systems (ImmerCom), held in conjunction with ACM MobiCom 2023.
Zenodo. https://doi.org/10.1145/3615452.3617944
Dataset: https://zenodo.org/records/10072796
- The dataset and Kinect poses are now available directly in this GitHub repository.
- Extended dataset generated using GANs: https://zenodo.org/records/10702154
We have released a new dataset, mmHSense, available on IEEE Dataport.
📄 The corresponding paper is available on arXiv:2509.21396.
🚀 Check it out — this is our latest and most comprehensive multi-modal mmWave ISAC dataset!