---
license: cc-by-4.0
task_categories:
  - other
tags:
  - egocentric
  - pose-estimation
  - RGBD
  - SMPL
  - motion-capture
  - VR
size_categories:
  - 10K<n<100K
---

# EgoPoseVR Dataset

## Overview

The **EgoPoseVR Dataset** is a large-scale synthetic dataset for egocentric full-body pose estimation in virtual reality.  
It contains paired RGB-D observations, pose annotations, HMD tracking signals, and SMPL body parameters for temporally aligned motion clips.

![Pipeline](assets/images/EgoPoseVR.jpg)

- **Total samples**: 18,235 motion clips
- **Scenes**: 7 virtual scenes (`Scene0` - `Scene6`)
- **Train / Val / Test**: 14,702 / 1,827 / 1,706
- **Data format**: `.npz` (NumPy compressed archives)

For more details, please visit the [Project Page](https://aplusx.github.io/EgoPoseVRWeb/) or check the [official repository](https://aplusx.github.io/EgoPoseVRWeb/).

---

## Data Sources

The motion data is derived from the [AMASS](https://amass.is.tue.mpg.de/) dataset.  
In total, **2,344 motion sequences** are extracted. Each sequence folder corresponds to one continuous motion sequence, and each `.npz` file contains a 100-frame clip sampled from that sequence.

<p align="center">
  <strong>🎬 Dataset Video</strong><br>
  <img src="assets/videos/Dataset.gif" alt="Dataset Video" width="500">
</p>

---

## Directory Structure

```text
EgoPoseVR_Dataset/
├── Scene0/
├── Scene1/
├── Scene2/
├── Scene3/
├── Scene4/
├── Scene5/
├── Scene6/
│   └── AllDataPath_{Source}_{split}_{id}/
│       └── {clip_id}.npz
├── train_npz_paths.txt
├── val_npz_paths.txt
├── test_npz_paths.txt
└── all_npz_paths.txt
```

## Citation

If you find our code or paper helps, please consider citing:

```bibtex
@article{cheng2026egoposevr,
  title={EgoPoseVR: Spatiotemporal Multi-Modal Reasoning for Egocentric Full-Body Pose in Virtual Reality},
  author={Cheng, Haojie and Ong, Shaun Jing Heng and Cai, Shaoyu and Koh, Aiden Tat Yang and Ouyang, Fuxi and Khoo, Eng Tat},
  journal={arXiv preprint arXiv:2602.05590},
  year={2026}
}
```