File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이경호

Lee, Kyungho
Expressive Computing Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

CheerUp: A Real-time Ambient Visualization of Cheerleading Pose Similarity

Author(s)
Lee, SoohwanLee, Kyungho
Issued Date
2023-03-30
DOI
10.1145/3581754.3584135
URI
https://scholarworks.unist.ac.kr/handle/201301/74839
Citation
ACM Conference on Intelligent User Interfaces
Abstract
Cheerleading is a highly structured, synchronized activity to cheer the team up as a form of encouragement. However, it is challenging for the cheerleaders and the spectators to understand such meanings in their intensive movement. To our best knowledge, there is no real-time interactive system designed to aim to integrate multi-pose estimation, pose-similarity computations, and ambient visualization. To address the gap, we propose a real-time interactive visualization system, CheerUp, that can integrate these three components. CheerUp can import not only the pre-recorded video clips but also can support real-time 1080p at 60fps webcam live video. CheerUp can compare up to six cheerleaders' pose similarities using a Body-part-level Pose Distance(BPD) and transform them into an abstract ambient visualization that symbolizes the intensity of the movement and similarity. We hope this work can support the cheerleading team's dance practice and help the spectators can understand the meanings underlying in the intensive movement.
Publisher
ACM IUI

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.