Title: Application of blockchain-based data pre-processing algorithm in motion analysis system

Authors: Ting Wang

Addresses: Department of Police Skills and Tactical Training, Criminal Investigation Police University of China, Shenyang 110854, Liaoning, China

Abstract: Databases and data warehouses are very susceptible to the intrusion of noisy data. The existence of noisy data has a great impact on the speed and quality of data information mining. This article aims to study a motion analysis system based on blockchain-based data pre-processing algorithms, and proposes the application method of data pre-processing algorithms in motion analysis training. This article analyses related content such as data pre-processing algorithms, sports training, and motion analysis systems, and conducts experiments on a motion analysis system based on blockchain-based data pre-processing algorithms. The experimental results show that the sports analysis system based on the data pre-processing algorithm can analyse the various states of the athletes during the exercise, and can effectively point out some deficiencies in the training process, which is beneficial to improve the training effect of the athletes, especially it is a 7% increase in improving the athlete's maximum physical state value.

Keywords: blockchain technology; data pre-processing; sports analysis system; sports training; data noise reduction.

DOI: 10.1504/IJGEI.2023.133805

International Journal of Global Energy Issues, 2023 Vol.45 No.6, pp.503 - 523

Received: 20 Dec 2021
Accepted: 27 Sep 2022

Published online: 03 Oct 2023 *

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