A Fitness Education and Scoring System Based on 3D Human Body Reconstruction

doi:10.1007/978-3-030-92836-0_21

科研成果详情

题名	A Fitness Education and Scoring System Based on 3D Human Body Reconstruction
作者	Tong，Haiyi; Li，Chenyang; Zhang，Hui
发表日期	2021
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN	0302-9743
卷号	13089 LNCS
页码	242-253
摘要	Affected by the Covid-19 epidemic, online fitness education has attracted a large number of users. However, when there are a large number of students in a same online classroom, it is difficult to get the coach’s advice and scores in time. To overcome this problem, we propose an AI fitness education system that uses 3D reconstruction technology to restore the shape of the human body and its bones. The skeleton is used for posture scoring. The 3D human body model is reconstructed by our improved VIBE network, with the accurate posture, shape and movement of the coach and students. By adding the loss function of the end limbs to the 3D human body model, compared with the performance of the original VIBE, we reduce the jitter noise in continuous motion. The training results show the accuracy of our improved VIBE. In addition, we have also established a scoring system, which can score the posture of the trainees based on the coach’s posture, and provide feedback through visual tag points. The experimental results show that our method is feasible and worthy of further exploration.
关键词	3D human body reconstruction Fitness education scoring system Improved-VIBE
DOI	10.1007/978-3-030-92836-0_21
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85124662552
引用统计	被引频次[WOS]：0 [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/8323
专题	北师香港浸会大学
通讯作者	Zhang，Hui
作者单位	Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,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	Tong，Haiyi,Li，Chenyang,Zhang，Hui. A Fitness Education and Scoring System Based on 3D Human Body Reconstruction[C], 2021: 242-253.