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Lee, Kyungho
Expressive Computing Lab.
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dc.citation.conferencePlace AT -
dc.citation.conferencePlace Sydney -
dc.citation.title ACM Conference on Intelligent User Interfaces -
dc.contributor.author Lee, Soohwan -
dc.contributor.author Lee, Kyungho -
dc.date.accessioned 2024-01-31T19:07:40Z -
dc.date.available 2024-01-31T19:07:40Z -
dc.date.created 2023-03-15 -
dc.date.issued 2023-03-30 -
dc.description.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. -
dc.identifier.bibliographicCitation ACM Conference on Intelligent User Interfaces -
dc.identifier.doi 10.1145/3581754.3584135 -
dc.identifier.scopusid 2-s2.0-85151991449 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/74839 -
dc.publisher ACM IUI -
dc.title CheerUp: A Real-time Ambient Visualization of Cheerleading Pose Similarity -
dc.type Conference Paper -
dc.date.conferenceDate 2023-03-27 -

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