Yosim Pancar dance from Papua and traditional Korean dances such as Salpuri and Seungmu present unique characteristics and challenges in applying motion recognition technology. Both are rich in complex cultural expressions but require slightly different approaches in developing pose-based and metadata-enhanced recognition systems.

1. Movement Variations and Technical Complexity

Yosim Pancar highlights dynamic movements with fast rhythms and sudden energy changes, contrasting with traditional Korean dances that focus on gentle, slow-paced movements. In future studies, technologies like BlazePose must be adapted to capture the rapid movement variations in Yosim Pancar, including tracking intense footwork and rhythmic jumps. Meanwhile, Korean dances require a focus on detecting subtle nuances such as hand gestures and slow-changing body postures.

Developing machine learning algorithms that address these differences is essential. Yosim Pancar needs algorithms capable of recognizing fast rhythmic patterns and high-energy shifts, while Korean dances require algorithms more sensitive to gradual transitions and slower movements.

2. Dedicated Datasets and Cultural Annotations

A well-designed dataset is crucial for developing accurate motion recognition technology. Traditional Korean dance requires datasets focusing on hand gestures, body postures, and emotional expressions. On the other hand, Yosim Pancar requires datasets capturing variations in foot movements, jumps, and group interactions. The Yosim Pancar dataset should also include local style variations and indigenous wisdom from different regions of Papua.

Future development of Yosim Pancar datasets can benefit from similar approaches in Korean dance research, but with additional relevant metadata, such as traditional Papuan musical rhythms, costume types, and the symbolic meaning of each movement. This is important since Yosim Pancar is not only a physical dance but also rich in social and cultural meaning that must be integrated into the technological analysis.

3. Challenges of Traditional Costumes and Occlusion

Just like Korean dances face challenges of occlusion due to flowing traditional costumes, Yosim Pancar encounters similar issues, especially when dancers wear expansive and decorated traditional Papuan attire. Future research can adopt occlusion-handling methods proposed in BlazePose studies on Korean dances, with added adjustments such as fabric texture detection and visual separation between costumes and the dancers’ bodies.

4. Multimodal Metadata Integration

More complex metadata integration will also play a key role in future Yosim Pancar motion recognition development. Metadata such as tifa drum tempo, traditional musical instrument variations, and cultural event context can provide additional information to enrich motion analysis. Similar to how Korean dance uses metadata such as musical rhythms and historical context to improve motion recognition accuracy, this approach can be applied to Yosim Pancar while considering the symbolic meanings of rituals and the uniqueness of Papuan music.

5. User Interface for Real-Time Feedback

Regarding feedback for dancers, Korean dance studies focus on tracking smooth transitions through visual overlays and heatmaps. For Yosim Pancar, similar systems can be used, but with additional visualizations of footwork patterns, movement speed, and group movement synchronization. This is important as Yosim Pancar is often performed in large groups, requiring feedback not only for individuals but also for collective coordination.

6. Real-Time Applications for Training and Cultural Preservation

Both dances have great potential for integration into technology-based training systems. In the future, real-time applications for Yosim Pancar could have a wide impact, from training young generations to preserving traditional movement variations across different regions of Papua. Just as Korean dance is being integrated into digital education systems involving local cultural experts, researchers, and technology developers, Yosim Pancar can benefit from similar collaborations to ensure its preservation.

Conclusion: Connecting Cultural Heritage with Modern Technology

Although Yosim Pancar and traditional Korean dances have different characteristics, the fundamental principles of motion recognition technology development can complement each other. Korean dance research provides a strong foundation in recognizing subtle movements and integrating cultural metadata, which can be adapted for Yosim Pancar with certain adjustments. With the right approach, the future of Yosim Pancar motion recognition can become more accurate, not only preserving its traditions but also introducing the beauty of Papuan culture to the international stage.