DanZens: A Toolkit for Sensing, Labeling and Visualizing Dance Movements
Wearable technology offers new opportunities for analyzing complex movements like dance, where precision, coordination, and feedback are key. In this demo, we present DanZens, a novel toolkit for real-time motion analysis in dance, leveraging wearable sensors to provide accessible and actionable feedback. Combining DanceTag to capture and annotate movements with DanceVis to visualize performance differences, DanZens uses Sony Mocopi sensors to analyze motion and generate intuitive heat maps through Dynamic Time Warping (DTW). This system enables precise, cost-effective comparisons between two people doing dance-related movements, offering personalized feedback and eliminating the need for expensive biomechanical labs. Designed to advance pervasive computing in interactive and creative domains, DanZens demonstrates the potential of wearable technology to transform movement analysis and learning experiences.
Authors
- Héctor M. Camarillo-Abad (ORCID: https://orcid.org/0000-0001-9841-2369)
- Franceli L. Cibrian (ORCID: https://orcid.org/0000-0002-7084-6904)
- María Concepción Valdez Gastelum (ORCID: https://orcid.org/0000-0003-1258-1474)
- Yanelly Mego
Institutions
- Chapman University (US)
- Centro de Investigación Científica y de Educación Superior de Ensenada (MX)
- Occidental College (US)
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/percomworkshops65533.2025.00125
- Primary Topic
- Diversity and Impact of Dance
- Type
- article
- Field-Weighted Citation Impact
- 0.00