AIMC Topic: Sports

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An Intelligent Prediction for Sports Industry Scale Based on Time Series Algorithm and Deep Learning.

Computational intelligence and neuroscience
Aiming at some existing issues in the sports industry, the existing model is optimized by deep learning and time series theory based on the relevant algorithm, and the scale of the sports industry is analyzed and predicted by the model. The results s...

Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

Computational intelligence and neuroscience
With the development of AI technology, human-computer interaction technology is no longer the traditional mouse and keyboard interaction. AI and VR have been widely used in early childhood education. In the process of the slow development and applica...

Analysis and Correction of Wrong Technical Actions in Juvenile Sports Training Based on Deep Learning.

Computational intelligence and neuroscience
Scientific analysis of students' incorrect actions in class, as well as timely and effective correction, is frequently an important link in the PE process. At the same time, it is an important symbol for assessing a teacher's teaching level and quali...

Deep Multi-Scale Residual Connected Neural Network Model for Intelligent Athlete Balance Control Ability Evaluation.

Computational intelligence and neuroscience
Athlete balance control ability plays an important role in different types of sports. Accurate and efficient evaluations of the balance control abilities can significantly improve the athlete management performance. With the rapid development of the ...

Analysis of Human Information Recognition Model in Sports Based on Radial Basis Fuzzy Neural Network.

Computational intelligence and neuroscience
In sports, because the movement of the human body is composed of the movements of the human limbs, and the complex and changeable movements of the human limbs lead to various and complicated movement modes of the entire human body, it is not easy to ...

Mitigating Bias and Error in Machine Learning to Protect Sports Data.

Computational intelligence and neuroscience
One of the essential processes in modern sports is doping control. In recent years, specialized methods of artificial intelligence and large-scale data analysis have been used to make faster and simpler detection of violations of international regula...

Swarm of micro flying robots in the wild.

Science robotics
Aerial robots are widely deployed, but highly cluttered environments such as dense forests remain inaccessible to drones and even more so to swarms of drones. In these scenarios, previously unknown surroundings and narrow corridors combined with requ...

Robots at the Beijing 2022 Winter Olympics.

Science robotics
The 2022 Winter Olympics has shown that robots can serve, protect, and help people excel in many aspects of their lives.

Research on Multiplayer Posture Estimation Technology of Sports Competition Video Based on Graph Neural Network Algorithm.

Computational intelligence and neuroscience
With the explosive growth of the number of sports videos, the traditional sports video analysis method based on manual annotation has been difficult to meet the growing demand because of its high cost and many limitations. The traditional model is us...

Sports Economic Operation Index Prediction Model Based on Deep Learning and Ensemble Learning.

Computational intelligence and neuroscience
In order to construct a prediction model of sports economic operation indicators, this paper combines deep learning and ensemble learning algorithms to integrate and improve the algorithms and analyzes the principles of the LightGBM ensemble learning...