Background: This study presents an intelligent table tennis e-training system based on a neural network (NN) model that recognizes data from sensors built into an armband device, with the component values (performances scores) estimated through principal component analysis (PCA).
Methods: Six expert male table tennis players on the National Youth Team (mean age 17.8 ± 1.