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**Skeleton Data for Micro-Action 52 dataset**
<img src="/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F6715123c301fc44e100a4295%2FLebp-uITidE7Y81e8-n_O.png%26quot%3B%3C%2Fspan%3E alt="image/png" style="zoom: 25%;" />
## Introduction
This repository is designed specifically for Skeleton-based Micro-Action Recognition research.
The Micro-Action-52 (MA-52) dataset is only to be used for **non-commercial scientific purposes**.
Please note that the test set is withheld for competition purposes.
You can evaluate your results by following the provided [instructions](https://github.com/VUT-HFUT/Micro-Action/tree/main/mar_scripts#codabench-submission-test-set).
## Citation
Please consider citing the related paper in your publications if it helps your research.
```
@article{gu2025motion,
title={Motion matters: Motion-guided modulation network for skeleton-based micro-action recognition},
author={Gu, Jihao and Li, Kun and Wang, Fei and Wei, Yanyan and Wu, Zhiliang and Fan, Hehe and Wang, Meng},
journal={arXiv preprint arXiv:2507.21977},
year={2025}
}
@article{guo2024benchmarking,
title={Benchmarking Micro-action Recognition: Dataset, Methods, and Applications},
author={Guo, Dan and Li, Kun and Hu, Bin and Zhang, Yan and Wang, Meng},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
year={2024},
volume={34},
number={7},
pages={6238-6252},
publisher={IEEE},
doi={10.1109/TCSVT.2024.3358415}
}
@article{li2024mmad,
title={Mmad: Multi-label micro-action detection in videos},
author={Li, Kun and Liu, Pengyu and Guo, Dan and Wang, Fei and Wu, Zhiliang and Fan, Hehe and Wang, Meng},
journal={arXiv preprint arXiv:2407.05311},
year={2024}
}
```