# Self-Supervised Skeleton Representation for Imbalanced Ethnic Dance Motion Analysis
> Jailani A.K.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_105054899356
Jurnal / Konferensi: Proceedings of 2026 International Conference on Information Management and Technology Icimtech 2026
Tahun terbit: 2026
DOI: https://doi.org/10.1109/ICIMTech202671078.2026.11698918
Citations: 0

## Authors
- Jailani A.K.

## Abstract
Digitally preserving traditional ethnic choreography faces many challenges, including severe intraclass kinematic variance, inconsistent sensor frame rates, and class imbalance. This paper seeks to advance the state-of-the-art in human movement representation by structuring cohesive, semantically aligned feature spaces with unannotated spatiotemporal data. We proposed MADALA-SSL, a selfsupervised multi-task learning framework that jointly optimizes a label-aware supervised contrastive loss, a temporal order prediction task, and a masked motion reconstruction task. We tested our framework on an imbalanced Bugis-Makassar Paduppa dance pose skeleton dataset. This dataset includes 144 sample clips of 6 unique motions captured by a heterogeneous setup of lateral 4 K 60 FPS and frontal 1080p 25 FPS, with a consistent temporal frame rate of 60 FPS. Using a frozen linear probing with a 5-fold cross-validation, MADALA-SSL reached a maximum accuracy of 89.29% and a macro F1 of 0.7458. Topological assessments of the data shape with a mean silhouette score of 0.4790 and a DBS of 1.2242, revealed an overall cohesive topology of the data despite some kinetic leakage. This was due to low-resource Massimang sequences merging into the Ammula Gau class, which has a highly imbalanced class distribution, caused by indistinguishable starting stances of the movements. Integrating self-paced learning loops of cross-modal audio-kinetic rhythmic synchronization is a promising future direction for this work.

## Keywords
- Representation (politics)
- Artificial intelligence
- Skeleton (computer programming)
- Dance
- Computer vision
- Computer science
- Motion analysis
- Motion (physics)
- Ethnic group
- Feature (linguistics)
- Pattern recognition (psychology)
- Communication

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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