Design and implementation of college sports training system based on artificial intelligence

2021 ◽  
Author(s):  
Song Wei ◽  
Kuili Wang ◽  
Xiangliang Li
Keyword(s):  
Artificial Intelligence ◽  
Training System ◽  
College Sports ◽  
Sports Training ◽  
Design And Implementation

scholarly journals Intelligent Sports Training System Based on Artificial Intelligence and Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chunguang Li ◽  
Jianbiao Cui
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Human Body ◽  
Joint Angle ◽  
Rapid Development ◽  
Human Motion ◽  
Training System ◽  
Human Motion Analysis ◽  
Sports Training ◽  
Organizational System

All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body in the image in a two-dimensional plane or three-dimensional space by establishing the mapping relationship between the human body features and the human body posture. This article demonstrates a golf-assisted training system to realize the transformation from an experience-based sports training method to a human motion analysis method, using artificial intelligence and big data. The swing posture parameters of the trainer and the coach are obtained using the posture estimation of a human body. Based on this information, an auxiliary training system is built. The two parameters of the joint angle trajectory and the posture similarity are used as auxiliary indicators to compare the trainers. The joint angle trajectory is analyzed, and the coach is guided based on the similarity of the posture.

scholarly journals The influence of sports education on students: contemporary challenges

2021 ◽  
Vol 7 (3A) ◽  
pp. 378-384
Author(s):  
Ludmyla Snihur ◽  
Eduard Sarafaniuk ◽  
Oleksandr Rozmaznin ◽  
Volodymyr Lukhanin ◽  
Larysa Yakobchuk
Keyword(s):  
Healthy Lifestyle ◽  
Well Being ◽  
Training System ◽  
Educational Institutions ◽  
General Level ◽  
Sports Training ◽  
Training Process ◽  
Literary Sources ◽  
General Physical ◽  
Positive Effect

The article is devoted to the substantiation of the relevance of the use of modern sports in general and general physical training in particular in the training system of students. The paper considers the actual problems of improving the physical fitness of students who study at higher military educational institutions during the period of primary sports training. The possibilities of increasing the effectiveness of the training process have been investigated. The analysis of modern scientific and literary sources gives grounds to assert that the system of sports training has a significant positive effect on the general level of well-being, facilitating the learning process and maintaining a healthy lifestyle. The purpose of the article is to form and implement innovative forms of sports education for students and further experimental verification of the developed program.

Research on Face Recognition Sports Intelligence Training Platform Based on Artificial Intelligence

2021 ◽  
Vol 30 (06n08) ◽  
Author(s):  
Jie Yang ◽  
Lian Tang ◽  
Xin-Wei Li
Keyword(s):  
Artificial Intelligence ◽  
Heart Rate ◽  
Face Recognition ◽  
Control Unit ◽  
Training System ◽  
Table Tennis ◽  
Training Problem ◽  
Tennis Players ◽  
Industrial Control Computer ◽  
Human Behavior Recognition

With the application of artificial intelligence in many social fields, the research of human behavior recognition and non-contact detection of human physiological parameters based on face recognition and other technologies has developed rapidly, and the application of artificial intelligence in culture, sports and entertainment has also begun to rise. How to apply the existing mature technology to the sports intelligence training system taking table tennis as an example is a hot issue worthy of study. In this paper, a comprehensive intelligent table tennis training system and platform based on Convolutional Neural Network face recognition and face heart rate detection is designed, which is mainly used to solve the philosophical training problem in table tennis. In the system place, an identification cameras is set at the entrance of table tennis training places, which is used for table tennis players’ sign-in and training table number allocation, and an intelligent analysis cameras is set above each intelligent training table, which is used for detecting the face and heart rate of table tennis players. Each intelligent training platform consists of intelligent voice control unit, server, camera, industrial control computer, monitor and other terminal modules. The member data center constitutes the platform of intelligent table tennis training system.

Ambient Intelligence in Perspective

2010 ◽  
pp. 129-136 ◽  
Author(s):  
Caroline Byrne ◽  
Michael O’Grady ◽  
Gregory O’Hare
Keyword(s):  
Artificial Intelligence ◽  
Mobile Computing ◽  
Ambient Intelligence ◽  
Design And Implementation ◽  
Computing Paradigm ◽  
Software Professionals ◽  
Essential Prerequisite ◽  
Embedded Intelligence

Ambient intelligence (AmI) is a relatively new and distinct interpretation of the mobile computing paradigm. However, its recognition that embedded intelligence, either in actuality or perception, is an essential prerequisite if mobile computing is to realize its potential distinguishes it from other mobile usage paradigms. Though stressing the need for intelligence, and implicitly the adoption of artificial intelligence (AI) techniques, AmI does not formally ratify any particular approach and is thus technique agnostic. In this article, we examine the constituent technologies of AmI and provide a brief overview of some exemplary AmI projects. In particular, the question of intelligence is considered and some strategies for incorporating intelligence into AmI applications and services are proposed. It is the authors hope that a mature understanding of the issues involved will aid software professionals in the design and implementation of AmI applications.

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