| **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} | |
| } | |
| ``` |