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Design and Analysis of a Pitch Fatigue Detection System for Adaptive Baseball Learning.

Yi-Wei Ma¹, Jiann-Liang Chen¹, Chia-Chi Hsu¹

¹Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.

Frontiers in Psychology

|December 30, 2021

Summary

This study introduces a smart sports method to detect pitcher fatigue using elbow and back angles. The system achieved 89.1% accuracy, aiding coaches in preventing baseball injuries during training.

Keywords:

adaptive baseball learning computer visions machine learning pitch fatigue detection smart sports

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Area of Science:

Sports Science
Biomechanical Engineering
Data Science

Background:

The integration of advanced technologies like AI and computer vision has led to the emergence of smart sports.
Pitcher fatigue is a critical factor in baseball performance and injury prevention.
Existing methods for fatigue assessment may lack precision and real-time feedback.

Purpose of the Study:

To propose a novel pitch fatigue detection method for adaptive baseball learning.
To leverage sensor data and machine learning for accurate fatigue assessment.
To provide coaches with actionable insights to mitigate baseball injuries.

Main Methods:

A multi-layered approach (acquisition, analysis, quantification, aggregation, learning, public) was developed.
Pitcher fatigue was quantified using elbow and back angles correlated with the number of pitches.
A machine learning model was trained to determine the pitcher's fatigue index.

Main Results:

The proposed method demonstrated a test accuracy rate of 89.1% in detecting pitcher fatigue.
The system effectively correlates biomechanical data with increasing pitch counts.
The fatigue index provides valuable reference information for adaptive training.

Conclusions:

The developed pitch fatigue detection method is effective for smart sports applications.
This technology supports adaptive baseball learning by providing objective fatigue data.
The system has the potential to significantly reduce the incidence of baseball-related injuries.