科研成果详情

题名Grading tai chi performance in competition with RGBD sensors
作者
发表日期2015
会议名称13th European Conference on Computer Vision, ECCV 2014
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN9783319161815 / 9783319161808
ISSN0302-9743
卷号8926
页码3-13
会议日期SEP 06-12, 2014
会议地点Zurich
摘要

In order to grade objectively, referees of Tai Chi practices always have to be very concentrated on every posture of the performer. This makes the referees easy to be fatigue and thus grade with occasional mistakes. In this paper, we propose using Kinect sensors to grade automatically. Firstly, we record the joint movement of the performer skeleton. Then we adopt the joint differences both temporally and spatially to model the joint dynamics and configuration. We apply Principal Component Analysis (PCA) to the joint differences in order to reduce redundancy and noise. We then employ non-parametric Nave- Bayes-Nearest-Neighbor (NBNN) as a classifier to recognize the multiple categories of Tai Chi forms. To give grade of each form, we study the grading criteria and convert them into decision on angles or distances between vectors. Experiments on several Tai Chi forms show the feasibility of our method.

关键词Kinect RGBD sensor Tai Chi
DOI10.1007/978-3-319-16181-5_1
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收录类别CPCI-S
语种英语English
WOS研究方向Computer Science ; Robotics
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Theory & Methods ; Robotics
WOS记录号WOS:000362495500001
Scopus入藏号2-s2.0-84928793006
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6470
专题理工科技学院
通讯作者Zhang, Hui
作者单位
Department of Computer Science, United International College,Zhuhai,28, Jinfeng Road, Tangjiawan,China
第一作者单位北师香港浸会大学
通讯作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Zhang, Hui,Guo, Haipeng,Liang, Chaoyunet al. Grading tai chi performance in competition with RGBD sensors[C], 2015: 3-13.
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