Design of a Professional Sports Competition Adjudication System Based on Data Analysis and Action Recognition Algorithm

doi:10.1155/2022/9402195

CORC > 兰州理工大学 > 兰州理工大学

	Design of a Professional Sports Competition Adjudication System Based on Data Analysis and Action Recognition Algorithm
	Lin, Qianfeng 1,2; Zou, Jiashu 3
刊名	SCIENTIFIC PROGRAMMING
	2022-05-18
卷号	2022
关键词	Classification (of information)Computer aided designData fusionData handlingDigital storageGradient methodsMatrix algebraProfessional aspects Action classificationsAction recognition algorithmsHigh resolutionInertial sensingmatrixMotion capture systemMotion dataOptical motion captureResearch and analysisSports competitions
ISSN号	1058-9244
DOI	10.1155/2022/9402195
英文摘要	This paper uses data analysis and action recognition algorithms to conduct in-depth research and analysis of professional sports competition judging and designs a professional sports competition-assisted judging system for use in actual judging. In this paper, a wearable motion capture system based on an inertial sensing unit is developed and designed for kayaking technical motion monitoring to achieve the acquisition, analysis, and quantitative evaluation of kayaker motion data. To limit the gyroscope and pose estimation error, a gradient descent method is used for multisensor data fusion to achieve athlete pose update, and a quaternion-driven human skeletal vector model is proposed to reconstruct the kayaker's paddling technical movements. By calculating the angular sequences of the left shoulder, right shoulder, left elbow, and right elbow joints of the athlete's upper limbs and comparing them with the optical motion capture system, the results show that the motion capture system developed in this paper is comparable to the optical motion capture system in terms of measurement accuracy. It ultimately affects the result of pose estimation. Therefore, high-resolution networks and low-resolution networks can continuously maintain high-resolution features of the image by allowing each representation layer to repeatedly accept the representation information of other networks. A step matrix model is constructed to encode the multiscale global temporal information of action sequences, and action classification is achieved by calculating the response of the step matrix of test samples to the step matrix of each category of actions. The algorithm achieves 78.96%, 91.84%, and 91.18% accuracy of action classification on the Northwestern-UCLA database, MSRC-12 database, and CAD-60 database, respectively. The designed visual motion tracking system was applied to record the motion data of the experimental subjects in the fine motion assessment task and construct the motion assessment database. The experimental results show that the average error between the prediction results of the proposed action assessment method and the manual scoring is 1.83, and the automated assessment of fine movements is effectively realized.
WOS研究方向	Computer Science
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000804148300002
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158667]
专题	兰州理工大学
作者单位	1.Shanghai Sports Coll, Shanghai 200000, Peoples R China; 2.Lanzhou Univ Technol, Dept Phys Educ, Lanzhou 730000, Gansu, Peoples R China; 3.Shanghai Lixin Coll Finance & Accounting, Shanghai 200000, Peoples R China
推荐引用方式 GB/T 7714	Lin, Qianfeng,Zou, Jiashu. Design of a Professional Sports Competition Adjudication System Based on Data Analysis and Action Recognition Algorithm[J]. SCIENTIFIC PROGRAMMING,2022,2022.
APA	Lin, Qianfeng,&Zou, Jiashu.(2022).Design of a Professional Sports Competition Adjudication System Based on Data Analysis and Action Recognition Algorithm.SCIENTIFIC PROGRAMMING,2022.
MLA	Lin, Qianfeng,et al."Design of a Professional Sports Competition Adjudication System Based on Data Analysis and Action Recognition Algorithm".SCIENTIFIC PROGRAMMING 2022(2022).