Bat Selection Diagnosis Using Swing Data Segmentation

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Solution Overview

Problem

Existing bat selection systems inefficiently utilize swing measurement data, only comparing limited kinematic information in rough classifications, leading to suboptimal bat selection for hitters.

Innovation Solution

A hitting tool selection diagnosis system that uses a measurement device to gather first and second swing measurement data values, dependent on operability and momentum, which are then analyzed by a data analysis device to generate diagnosis information for selecting the most suitable hitting tool based on weighted score values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If swing measurement data is analyzed to select bats in rough classifications (long hitter/high-average hitter), then the selection process is simplified, but the degree of utilization of swing measurement data values is insufficient

Engineering Contradiction:

Improvesimplicity of selection processVSAvoiddegree of utilization of swing measurement data

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The patent segments the swing measurement data into multiple distinct types (first swing measurement data values and second swing measurement data values) with different meanings. The first values relate to bat operability while the second values relate to momentum at impact. This segmentation allows comprehensive utilization of all data types while maintaining a structured, manageable selection process that avoids information loss.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension of analysis by comparing swing measurement data values across multiple bats not just within rough classifications but across all bats systematically. It adds another dimension by incorporating both first and second swing measurement data values into a unified evaluation framework, enabling comprehensive bat selection that utilizes all available information effectively.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Loss of time

If only two types of swing measurement data values are compared in rough classifications, then the selection process is faster, but the comprehensive utilization of plurality of swing measurement data values is reduced

Engineering Contradiction:

Improveselection process timeVSAvoidcomprehensive utilization of measurement data

Core Design Contradiction:

Loss of timeVSLoss of information

Solution Approach 1:

The patent merges the comparison of first and second swing measurement data values into a single unified evaluation process. Instead of separately comparing data types or processing them in distinct stages, the system combines both types of data values and compares them simultaneously across all bats, achieving comprehensive data utilization without significant time penalty.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent performs preliminary classification of bats into rough categories (long hitter type and high-average hitter type) before the comprehensive comparison, but this preliminary action is used only for initial filtering. The main comparison then proceeds across all bats using both measurement data types, ensuring comprehensive utilization while maintaining efficiency through the preliminary organization.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If bats are selected based on rough classifications only, then the selection is more straightforward, but the accuracy of matching hitter preferences and performance goals is reduced

Engineering Contradiction:

Improvestraightforwardness of selectionVSAvoidaccuracy of hitter matching

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent incorporates feedback mechanisms by having hitters provide input on their preferences and performance goals, which then feeds back into the selection process. The system uses this feedback to determine which bats should be compared and selected, ensuring high accuracy in matching hitter preferences while maintaining straightforward operation through automated processing of the feedback information.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent changes the parameters used for bat selection from simple rough classifications to a multi-parameter evaluation system that incorporates both first and second swing measurement data values. This parameter change enables accurate matching of hitter preferences and performance goals while maintaining ease of operation through systematic data processing and automated comparison.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250135311A1Hitting tool selection diagnosis system, hitting tool selection diagnosis method, and non-transitory computer-readable medium storing diagnosis program

Publication Date: 2025.05.01 MIZUNO CORPORATION

AI summary

A measurement device outputs first and second swing measurement data values respectively dependent on operability of a hitting tool (bat) and momentum at the time of impact with a swing behavior when hitting an object (ball) with the hitting tool being employed as an input. A data analysis device generates diagnosis information for selection of a hitting tool in response to input of the first and second swing measurement data values obtained when each of three or more of hitting tools is swung. The diagnosis information is generated using a total score value calculated by integrating, using a BS value that is a weighting coefficient, a score value that is an indicator value of operability of the hitting tool calculated from the first swing measurement data value and a score value that is an indicator value of a hit-object speed calculated from the second swing measurement data value.