Automatic coaching system for batting form using neural network

Abstract

Recently, artificial-intelligence (AI) coaching systems have become popular because AI automatically evaluates walking motions and suggests training methods. The purpose of this study is to apply such a coaching system to batting form. The system comprises a person-estimation neural network that estimates which person's swing resembles the input swing, a swing-estimation neural network that predicts the estimated person's swing, and a comparison module that compares the estimated and input swings. Herein, we aim to build a system that can compare swings with different speeds.