SYNCUP:基于视觉的同步舞蹈练习支持

IF 0.7 Q4 TELECOMMUNICATIONS GetMobile-Mobile Computing & Communications Review Pub Date : 2023-08-03 DOI:10.1145/3614214.3614222
Zhongyi Zhou, Anran Xu, K. Yatani
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引用次数: 3

摘要

智能移动设备的普及改变了人们练习舞蹈的方式:舞者通常在练习时使用智能手机进行视频记录。然而,回顾他们的视频,他们主要使用简单的视频播放器界面,这并没有为舞者提供足够的支持。在这项工作中,我们提出了SyncUp,一个提供多种交互式可视化的系统,以支持同步舞蹈的练习,并将用户从手动检查录制的练习视频中解放出来。SyncUp通过我们的交互式可视化设计和舞蹈表演量化方法,帮助舞者快速识别不同步的身体部位和舞蹈部分。我们广泛的评估研究表明,SyncUp预测与人类评分高度相关,并揭示了SyncUp对舞者的实际好处。
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SYNCUP: Vision-Based Practice Support for Synchronized Dancing
The popularization of smart mobile devices has changed how people practice dancing: dancers typically use smartphones to take video records while practicing. However, to review their videos, they primarily use simple video player interfaces, which do not provide sufficient support for dancers. In this work, we present SyncUp, a system that provides multiple interactive visualizations to support the practice of synchronized dancing and liberate users from manual inspection of recorded practice videos. SyncUp helps dancers quickly identify poorly synchronized body parts and dance portions through our interactive visualization designs and dance performance quantification methods. Our extensive evaluation study shows that SyncUp predictions are highly correlated with human rating scores, and reveal practical benefits of SyncUp to dancers.
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