AIMC Topic: Soccer

Clear Filters Showing 21 to 30 of 48 articles

Model of the Performance Based on Artificial Intelligence-Fuzzy Logic Description of Physical Activity.

Sensors (Basel, Switzerland) Jan 18, 2023
The aim of the study was to build a fuzzy model of lower limb peak torque in an isokinetic mode. The study involved 93 male participants (28 male deaf soccer players, 19 hearing soccer players and 46 deaf untraining male). A fuzzy computational model...
Humans Artificial Intelligence Fuzzy Logic Lower Extremity Soccer Male Exercise
View on PubMed DOI

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning.

Sensors (Basel, Switzerland) Nov 3, 2022
With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every j...
Humans Soccer Athletes Biomechanical Phenomena Skiing Deep Learning Wind
View on PubMed DOI

Deep Learning-Based Football Player Detection in Videos.

Computational intelligence and neuroscience Jul 12, 2022
The main task of football video analysis is to detect and track players. In this work, we propose a deep convolutional neural network-based football video analysis algorithm. This algorithm aims to detect the football player in real time. First, five...
Soccer Neural Networks, Computer Deep Learning Football Algorithms
View on PubMed DOI

Influence of Different Passing Methods of Physical Fitness in Football Using Deep Learning.

Computational intelligence and neuroscience Jun 25, 2022
Deep learning is a new direction in the field of machine learning, which learns the inherent laws and levels of data sample representation. The information gained during learning plays an important role in interpreting data such as text, images, and ...
Physical Fitness Soccer Machine Learning Deep Learning Football Humans
View on PubMed DOI

Football Game Video Analysis Method with Deep Learning.

Computational intelligence and neuroscience Jun 8, 2022
Football is a beloved sport, and its wide audience makes football video one of the most analytically valuable types of video. Researchers have achieved certain research results in football video content analysis. How to locate interesting event clips...
Soccer Football Video Recording Neural Networks, Computer Deep Learning Humans
View on PubMed DOI

Automated soccer head impact exposure tracking using video and deep learning.

Scientific reports Jun 3, 2022
Head impacts are highly prevalent in sports and there is a pressing need to investigate the potential link between head impact exposure and brain injury risk. Wearable impact sensors and manual video analysis have been utilized to collect impact expo...
Humans Soccer Football Deep Learning Video Recording Brain Injuries Head
View on PubMed DOI

An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors.

Sensors (Basel, Switzerland) Feb 10, 2022
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvant...
Humans Neural Networks, Computer Acceleration Soccer Deep Learning Wearable Electronic Devices
View on PubMed DOI

GreenSea: Visual Soccer Analysis Using Broad Learning System.

IEEE transactions on cybernetics Feb 17, 2021
Modern soccer increasingly places trust in visual analysis and statistics rather than only relying on the human experience. However, soccer is an extraordinarily complex game that no widely accepted quantitative analysis methods exist. The statistics...
Humans Soccer Image Processing, Computer-Assisted Models, Statistical Algorithms Video Recording Deep Learning
View on PubMed DOI

Analysing the predictive capacity and dose-response of wellness in load monitoring.

Journal of sports sciences Jan 6, 2021
This study aimed to identify the predictive capacity of wellness questionnaires on measures of training load using machine learning methods. The distributions of, and dose-response between, wellness and other load measures were also examined, offerin...
Stress, Psychological Physical Exertion Wearable Electronic Devices Humans Health Status Football Geographic Information Systems Machine Learning Sports Motivation Surveys and Questionnaires Physical Conditioning, Human Soccer Sleep Regression Analysis Perception Cricket Sport Myalgia Affect Decision Trees Fatigue
View on PubMed DOI

The tactics of successful attacks in professional association football: large-scale spatiotemporal analysis of dynamic subgroups using position tracking data.

Journal of sports sciences Oct 27, 2020
Association football teams can be considered complex dynamical systems of individuals grouped in subgroups (defenders, midfielders and attackers), coordinating their behaviour to achieve a shared goal. As research often focusses on collective behavio...
Competitive Behavior Group Processes Spatio-Temporal Analysis Soccer Humans Athletic Performance Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals