kunli-cs/MA52_pyskl

Skeleton Data for Micro-Action 52 dataset

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.

28 keypoints extracted by OpenPose

self.inward = [
    (4, 3), (3, 2), (7, 6), (6, 5), (13, 12), (12, 11), (10, 9),
    (9, 8), (11, 5), (8, 2), (5, 1), (2, 1), (0, 1), (15, 0),
    (14, 0), (17, 15), (16, 14),
    (23, 4), (24, 4), (25, 4), (26, 4), (27, 4),
    (18, 7), (19, 7), (20, 7), (21, 7), (22, 7)
]

44 keypoints in MMN

self.inward = [
    # right_hand
    (7, 9), (9, 32), (32, 33), (32, 34), (32, 35), (32, 36), (32, 37),
    # left_hand
    (8, 10), (10, 38), (38, 39), (38, 40), (38, 41), (38, 42), (38, 43),
    # right_foot
    (13, 15), (15, 24), (24, 20), (24, 22),
    # left_foot
    (14, 16), (16, 25), (25, 21), (25, 23),
    # face
    (31, 30), (30, 27), (27, 0), (0, 26), (26, 1), (1, 29), (29, 3), (26, 2), (2, 28), (28, 4),
    # torso
    (17, 18), (18, 5), (18, 6), (18, 19), (19, 11), (19, 12),
    # connect
    (5, 7), (6, 8), (11, 13), (12, 14), (0, 18), (0, 17),
]

Citation

Please consider citing the related paper in your publications if it helps your research.

@inproceedings{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},
  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
  pages={5461--5470},
  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}
}
@inproceedings{li2025mmad,
  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},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={13225--13236},
  year={2025}
}