Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene

doi:10.1155/2021/7963616

IR > 体育教学研究部

	Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene
	Gao, Yuzhou; Ma, Guoquan
	2021-08-31
发表期刊	MATHEMATICAL PROBLEMS IN ENGINEERING
ISSN	1024-123X
卷号	2021
摘要	The task of human motion recognition based on video is widely concerned, and its research results have been widely used in intelligent human-computer interaction, virtual reality, intelligent monitoring, security, multimedia content analysis, etc. The purpose of this study is to explore the human action recognition in the football scene combined with learning quality related multimodal features. The method used in this study is to select BN-Inception as the underlying feature extraction network and use uncontrolled environment and real world to capture datasets UCFl01 and HMDB51, and pretraining is carried out on the ImageNet dataset. The spatial depth convolution network takes image frame as input, and the temporal depth convolution network takes stacked optical flow as input to carry out human action multimodal identification. In the results of multimodal feature fusion, the accuracy of UCFl01 dataset is generally high, all of which are over 80%, and the highest is 95.2%, while the accuracy of HMDB51 dataset is about 70%, and the lowest is only 56.3%. It can be concluded that the method of this study has higher accuracy and better effect in multimodal feature acquisition, and the accuracy of single-mode feature recognition is significantly lower than that of multimodal feature recognition. It provides an effective method for the multimodal feature of human motion recognition in the scene of football or sports.
DOI	10.1155/2021/7963616
收录类别	EI ; SCOPUS ; SCIE
语种	英语
WOS研究方向	Engineering ; Mathematics
WOS类目	Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS记录号	WOS:000695392500009
出版者	HINDAWI LTD
EI入藏号	20213810909341
EI分类号	716.1 Information Theory and Signal Processing - 741.1 Light/Optics
来源库	WOS
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/148584
专题	体育教学研究部
通讯作者	Ma, Guoquan
作者单位	Lanzhou Univ Technol, Dept Phys Educ, Lanzhou 730050, Gansu, Peoples R China
第一作者单位	理学院
通讯作者单位	理学院
第一作者的第一单位	理学院
推荐引用方式 GB/T 7714	Gao, Yuzhou,Ma, Guoquan. Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,2021.
APA	Gao, Yuzhou,&Ma, Guoquan.(2021).Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene.MATHEMATICAL PROBLEMS IN ENGINEERING,2021.
MLA	Gao, Yuzhou,et al."Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene".MATHEMATICAL PROBLEMS IN ENGINEERING 2021(2021).

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