Sports training effect simulation of embedded system based on FPGA

The development of information technology is changing all walks of life. People’s health problem is more and more prominent; people begin to talk about the reform of college sports training. Sports no longer rely on individual games, but on the comprehensive strength of science and technology competition. The fierce competition for Olympic gold medal in modern competitive sports is largely due to the competition of scientific and technological strength of various countries. China has also conducted a lot of research on sports information and made some achievements. Through the investigation, we know that, at present, the provincial level sports teams have established the relevant sports training information management system, which is very effective. The latest scientific and technological achievements are combined with sports to establish the university sports information system. The purpose of this paper is to analyze the university sports physical training information system based on big data mobile terminal, study the big data embedded system, improve the effect of sports skills training, and meet the social demand for high skilled sports talents. This paper uses the literature method, experimental investigation method, and big data spectral clustering algorithm-related experiments to study the advantages of big data and uses the value of big data and embedded system model to study the university sports physical fitness training information system based on big data mobile terminal. The results show that 40.6% of college students spend more time in physical exercise, based on the application of big data embedded system in college sports training; it is of great significance to arrange sports training methods to improve students’ sports training performance.

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Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training

Mobile Information Systems ◽

10.1155/2021/6067678 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Yajun Zhang ◽

Sang-Bing Tsai

Keyword(s):

Virtual Reality ◽

Rapid Development ◽

Training Effect ◽

Training Method ◽

Sports Training ◽

Virtual Reality Technology ◽

Internal Motivation ◽

Traditional Training ◽

The Difference ◽

Better Than

Virtual reality technology has many characteristics, such as high immersion, dynamic interactive response, and multidimensional information digitization. These characteristics are needed by the combination of modern sports development and scientific and technological progress. The introduction of virtual reality technology into the field of sports will be conducive to the scientific training of sports competition and the digital research of technical theory and to the rapid development of modern sports. This paper constructs the framework of sports training based on virtual reality technology and designs a motion capture data algorithm based on behavior string, which successfully improves the advantages of virtual reality technology. In addition, the training experiment method is used to verify the effectiveness and superiority of the system, focusing on the high-school students learning tennis for the first time as the experimental object to study the differences in training effects between the traditional training method and the training method using virtual reality technology. The training effect of tennis is better than the traditional training method, and the difference is significant; the internal motivation of training psychology is better than the traditional training method, and the difference is significant. Compared with the traditional training method, this training method can stimulate students’ interest in training, improve students’ training effect, and promote students’ psychological internal motivation to continue training. This study provides useful enlightenment for the further application of virtual reality technology and in the modern sports training for various sports events.

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Physiological Index Monitoring of Wearable Sports Training Based on a Wireless Sensor Network

Journal of Sensors ◽

10.1155/2021/7552510 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Zhihai Lu ◽

Zhaoxiang Li ◽

Lei Zhang

Keyword(s):

Wireless Sensor Network ◽

Embedded System ◽

Real Time ◽

Sensor Network ◽

System Structure ◽

Wireless Sensor ◽

Network Node ◽

Sports Training ◽

Physiological Index ◽

Sensor Module

According to the development needs of wireless sensor networks, this paper uses the combination of embedded system and wireless sensor network technology to design a network node platform. This platform is equipped with a sports training sensor module to measure the physiological indicators of the ward in real time. The network node sends the collected physiological parameters to a remote monitoring center in real time. First, according to the generation mechanism of the physiological index signal and the characteristics of the physiological index signal, the wireless sensor network analysis and processing method are used to denoise the physiological index signal, and the wireless sensor network package is used to extract the characteristics of the physiological index, indicating different types of respiration. The energy characteristics of the sound physiological index signals are different, which verifies the feasibility of the independent component analysis method for separating the physiological index and the physiological index signal of the heart sound. Secondly, the hardware system of physiological index signal acquisition is designed, and the selection principle of the hardware unit is introduced. At the same time, the system structure of the monitor is designed, and then, the wireless sensor network sensor node is researched, the hardware of the wearable monitor system is designed, and the hardware architecture and working mode based on the single-chip MSP430F149 are given. Finally, the wireless hardware platform includes the following main modules: sensor part, preprocessing circuit module, microprocessing module based on MSP430 low power consumption, wireless transceiver module based on RF chip CC2420, and power supply unit used to provide energy.

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Extreme rainfall response based on SAR imaging and home sports training effect

Arabian Journal of Geosciences ◽

10.1007/s12517-021-08008-z ◽

2021 ◽

Vol 14 (15) ◽

Author(s):

Yujuan Huo ◽

Weiqun Huang

Keyword(s):

Extreme Rainfall ◽

Training Effect ◽

Sports Training ◽

Sar Imaging

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Computer Aided Sports Technology in Physical Training

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.2426 ◽

2014 ◽

Vol 926-930 ◽

pp. 2426-2429

Author(s):

Rui Shu Chen

Keyword(s):

Information Technology ◽

Physical Training ◽

Rational Approach ◽

Training Effect ◽

Sports Training ◽

Training Process ◽

Computer Aided ◽

Traditional Sports ◽

Level Of Training ◽

Application Prospects

To achieve a good physical training effect, it not only needs hard training of athletes, but also a scientific and rational approach. This paper describes the development background of computer-aided sports technology, definitions and classifications. The work analyzes the traditional sports training process, points out its shortcomings, and describs the computer-aided sports technology detailedly, and cites some aspects of its application in sports training. A large number of practice show that computer-aided sports technology plays an important role in improving the level of training, and with the constant advances in computer and information technology, it certainly has broader application prospects in physical exercise.

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