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Research on core strength training of aerobics based on artificial intelligence and sensor network
EURASIP Journal on Wireless Communications and Networking ( IF 2.3 ) Pub Date : 2020-08-27 , DOI: 10.1186/s13638-020-01785-3
Liqiang Jia , Lingshu Li

The traditional training system based on case teaching is according to the analysis of past competitions and training cases to carry out the strength training of aerobics special movements. The training results cannot be evaluated intelligently and accurately, and the performance of dynamic analysis is poor. To address this problem, the core training system of strength quality of aerobics special movements based on artificial intelligence is designed to realize the intelligent training of the strength quality of aerobics special movements. Through the study of fuzzy paradigm system, intelligent functions such as optimization and decision-making of intelligent fuzzy network are realized. The design system architecture framework includes the modules of sensor, receiver, database, and analysis decision. The core chip of the system is the main control module of Atmega1280 MCU for man-machine interaction, so as to realize the comprehensive training of the strength quality of aerobics special movements. Information collection module is used to collect information on strength training information such as instrument, movement, and language. The problem of phase distortion in signal transmission process is processed by FIR filter. Through information management module, trainee information management and training results statistics and queries are implemented. In the system software part, the system software structure diagram and system startup and landing procedure are given. By analyzing the working process of the module, the strength of aerobics special movements is analyzed. Experimental results show that the designed system can achieve real-time and stable strength training for aerobics special movements and improve training efficiency.



中文翻译:

基于人工智能和传感器网络的健美操核心力量训练研究

传统的基于案例教学的训练体系是根据对过去比赛和案例的分析,对健美操专项动作进行力量训练。训练结果无法智能,准确地评估,动态分析的性能较差。针对这一问题,设计了基于人工智能的健美操特殊运动强度素质核心训练系统,以实现健美操特殊运动强度素质的智能训练。通过对模糊范式系统的研究,实现了智能模糊网络的优化和决策等智能功能。设计系统架构框架包括传感器,接收器,数据库和分析决策的模块。该系统的核心芯片是Atmega1280 MCU人机交互的主要控制模块,从而实现对健美操特殊动作力量素质的综合训练。信息收集模块用于收集有关力量训练信息的信息,例如器械,动作和语言。信号传输过程中的相位失真问题由FIR滤波器处理。通过信息管理模块,可以实现学员信息管理和培训结果统计与查询。在系统软件部分,给出了系统软件结构图以及系统启动和登陆过程。通过分析模块的工作过程,分析了健美操特殊动作的强度。

更新日期:2020-08-28
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