AIMC Topic: Athletes
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From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes.
PloS one
Aug 29, 2024
Lactate analysis plays an important role in sports science and training decisions for optimising performance, endurance, and overall success in sports. Two parameters are widely used for these goals: aerobic (AeT) and anaerobic (AnT) thresholds. Howe...
Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events.
PloS one
Aug 22, 2024
The present study intended to determine the nationality of the fastest 100-mile ultra-marathoners and the country/events where the fastest 100-mile races are held. A machine learning model based on the XG Boost algorithm was built to predict the runn...
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?
Neuroinformatics
Jul 30, 2024
Over the past decade, the intricacies of sports-related concussions among female athletes have become readily apparent. Traditional clinical methods for diagnosing concussions suffer limitations when applied to female athletes, often failing to captu...
Measuring Vertical Jump Height With Artificial Intelligence Through a Cell Phone: A Validity and Reliability Report.
Journal of strength and conditioning research
Jul 2, 2024
Erik, HT, Onn, SW, and Montalvo, S. Vertical jump height with artificial intelligence through a cell phone: a validity and reliability report. J Strength Cond Res 38(9): e529-e533, 2024-This study estimated the reliability and validity of an artifici...
Systematic training of table tennis players' physical performance based on artificial intelligence technology and data fusion of sensing devices.
SLAS technology
May 23, 2024
This research emphasises the value of physical training for table tennis players, particularly as ball speed and spin rate decline and emphasises how important intensity quality is to the game. Chinese table tennis players' dual identities place grea...
Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors.
Preventive medicine
Jul 13, 2023
With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new software realizes the separation of network control layer and data layer, thereby improving network throu...
Artificial intelligence as a potential teaching tool for athletes: when the skate and the smartphone run together.
The Journal of sports medicine and physical fitness
Jun 14, 2023
Using Machine Learning Algorithms to Pool Data from Meta-Analysis for the Prediction of Countermovement Jump Improvement.
International journal of environmental research and public health
May 19, 2023
To solve the research-practice gap and take one step forward toward using big data with real-world evidence, the present study aims to adopt a novel method using machine learning to pool findings from meta-analyses and predict the change of countermo...
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...
Cloud Computing Image Processing Application in Athlete Training High-Resolution Image Detection.
Computational intelligence and neuroscience
Oct 3, 2022
The rapid development of Internet of things mobile application technology and artificial intelligence technology has given birth to a lot of services that can meet the needs of modern life, such as augmented reality technology, face recognition servi...
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