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Athletes

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Relationship between training load and recovery in collegiate American football players during pre-season training.

Science & medicine in football
: The purpose of this study was to examine the relationship between training load and next-day recovery in collegiate American football (AF) players during pre-season.: Seventeen athletes (Linemen, n = 6; Non-linemen, n = 11) participated in the 14-d...

A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks.

Computational intelligence and neuroscience
In this paper, we propose a multiresidual module convolutional neural network-based method for athlete pose estimation in sports game videos. The network firstly designs an improved residual module based on the traditional residual module. Firstly, a...

Athlete Behavior Recognition Technology Based on Siamese-RPN Tracker Model.

Computational intelligence and neuroscience
With the rapid development of deep learning algorithms, it is gradually applied in UAV (Unmanned Aerial Vehicle) driving, visual recognition, target tracking, behavior recognition, and other fields. In the field of sports, many scientists put forward...

Sports Training System Based on Convolutional Neural Networks and Data Mining.

Computational intelligence and neuroscience
In recent years, China's sports industry has achieved good development, but the efficiency of athletes in the training process is difficult to have scientific guarantee. How to use scientific algorithm and data mining technology to accurately guide t...

Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation.

Computational intelligence and neuroscience
The advanced analysis and research methods of big data will provide theoretical support for the integration of athletes' talent training. The advanced technological methods of big data will also give full play to the advantages of tapping the potenti...

Estimating Player Positions from Padel High-Angle Videos: Accuracy Comparison of Recent Computer Vision Methods.

Sensors (Basel, Switzerland)
The estimation of player positions is key for performance analysis in sport. In this paper, we focus on image-based, single-angle, player position estimation in padel. Unlike tennis, the primary camera view in professional padel videos follows a de f...

Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating.

Sensors (Basel, Switzerland)
The ability to optimize power generation in sports is imperative, both for understanding and balancing training load correctly, and for optimizing competition performance. In this paper, we aim to estimate mechanical power output by employing a time-...

Adaptive Athlete Training Plan Generation: An intelligent control systems approach.

Journal of science and medicine in sport
OBJECTIVES: The planning and control of team sport training activities is an extremely important aspect of athletic development and team performance. This research introduces a novel system which leverages techniques from the fields of control system...

Hydration Status and Fluid Replacement Strategies of High-Performance Adolescent Athletes: An Application of Machine Learning to Distinguish Hydration Characteristics.

Nutrients
There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individu...

Deep Learning and Improved HMM Training Algorithm and Its Analysis in Facial Expression Recognition of Sports Athletes.

Computational intelligence and neuroscience
Facial expressions are an auxiliary embodiment of information conveyed in the communication between people. Facial expressions can not only convey the semantic information that people want to express but also convey the emotional state of the speaker...