Document Type

Conference Proceeding

Publication Date

3-2025

Abstract

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.

Comments

This is a pre-copy-editing, author-produced PDF of an article accepted for publication in IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) in 2025 following peer review. This article may not exactly replicate the final published version. The definitive publisher-authenticated version is available online at https://doi.org/10.1109/PerComWorkshops65533.2025.00125.

Copyright

© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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