AIMC Topic: Plyometric Exercise

Clear Filters Showing 1 to 3 of 3 articles

Performance of artificial neural network compared to multi-linear regression in prediction of countermovement jump height.

Journal of bodywork and movement therapies Nov 5, 2024
Previous research has used primarily linear regression models to predict jump height and establish contributors of performance. The purpose of this study was to compare the performance of artificial neural network (ANN) and multi-linear regression (M...
Humans Neural Networks, Computer Young Adult Biomechanical Phenomena Male Athletic Performance Linear Models Plyometric Exercise
View on PubMed DOI

Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.

Journal of sports science & medicine Sep 1, 2024
OpenPose-based motion analysis (OpenPose-MA), utilizing deep learning methods, has emerged as a compelling technique for estimating human motion. It addresses the drawbacks associated with conventional three-dimensional motion analysis (3D-MA) and hu...
Humans Algorithms Female Reproducibility of Results Young Adult Adult Biomechanical Phenomena Male Deep Learning Imaging, Three-Dimensional Exercise Test Knee Joint Range of Motion, Articular Video Recording Time and Motion Studies Plyometric Exercise
View on PubMed DOI

Use of Machine Learning to Model Volume Load Effects on Changes in Jump Performance.

International journal of sports physiology and performance Oct 14, 2019
PURPOSE: To use an artificial neural network (ANN) to model the effect of 15 weeks of resistance training on changes in countermovement jump (CMJ) performance in male track-and-field athletes.
Humans Machine Learning Young Adult Male Time Factors Resistance Training Athletic Performance Plyometric Exercise Track and Field
View on PubMed DOI
Popular Topics
Recent Journals