Research on Data Mining of Sports Wearable Intelligent Devices Based on Big Data Analysis

Xing Zong, Chenfei Zhang, Dengpan Wu and Gengxin Sun

Discrete Dynamics in Nature and Society, 2022, vol. 2022, 1-9

Abstract: Traditional motion data mining models have some problems, such as poor dynamic data capture effect, low information classification effect rate, poor quantitative representation effect, and so on. Based on this, this paper studies the mining method of dynamic motion data based on neural network, constructs a data mining model based on discrete dynamic modeling technology, and realizes the collection of data information from the aspects of motion characteristics and types combined with multilayer sensors. Neural network algorithm is used for comprehensive analysis to realize multivariate analysis and objective evaluation of all data of dynamic motion process and accurate analysis and evaluation according to different data characteristics of different types of motion data. The results show that the data mining model based on discrete dynamic modeling technology and wearable sensor technology has the advantages of high feasibility, high intelligence, and wide application range.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:3723269

DOI: 10.1155/2022/3723269

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