文献类型：期刊文献

英文题名：Computational Technologies for the Wearable Sports Training System Based on Sensor Acquisition

作者：Wang, Guochang[1];Meng, Qinghui[2];Xu, Wen[3]

第一作者：Wang, Guochang

通讯作者：Xu, W[1]

机构：[1]North China Inst Aerosp Engn, Dept Phys Educ, Langfang 065000, Hebei, Peoples R China;[2]Henan Polytech Inst, Sch Automat Engn, Nanyang 473000, Peoples R China;[3]Beijing Union Univ, Dept Phys Educ, Beijing 100101, Peoples R China

第一机构：North China Inst Aerosp Engn, Dept Phys Educ, Langfang 065000, Hebei, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Phys Educ, Beijing 100101, Peoples R China.|[1141790]北京联合大学体育部、体委;[11417]北京联合大学;

年份：2022

卷号：2022

外文期刊名：SECURITY AND COMMUNICATION NETWORKS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000774654800005)】；

语种：英文

外文关键词：Data mining - Sports

摘要：Aiming at the problems of long time-consuming and low precision in traditional training system, a wearable sports training system based on data mining is proposed and designed. According to the overall structure of the system, the hardware and software of the system are designed respectively. The hardware part is mainly composed of attitude measurement unit, power supply unit, main control unit, clock circuit, and reset circuit. The software part introduces the data mining method of mining sports training information data. The experimental results show that the system designed in this study effectively shortens the time-consuming time, improves the accuracy, and has certain advantages.