Exercise Motion Analysis System for Personalized Shoe Selection

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Solution Overview

Problem

Runners face challenges in objectively selecting suitable shoes and training methods that enhance their performance and reduce the risk of injuries, as current methods rely on subjective recommendations rather than personalized analysis of their exercise motions.

Innovation Solution

An exercise motion analysis system that inputs motion and index data to estimate which motion parameters contribute to performance enhancement, recommending specific wearing tools and training methods based on individual user data and multiple regression analysis models.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If runners select shoes and training methods based on recommendations from acquaintances or published information, then the selection process is simple and quick, but the objective evaluation of whether the selected products truly fit their running styles is difficult

Engineering Contradiction:

Improvesimplicity of selection processVSAvoidobjectivity of performance evaluation

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces subjective mechanical recommendation systems with an automated computer-based analysis system. The system automatically collects motion data from wearable devices, processes it through algorithms, and generates objective recommendations without human intervention, thereby eliminating bias while maintaining ease of use for the runner.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables runners to self-evaluate their performance by automatically analyzing their own motion data. Runners input their running data, and the system generates personalized recommendations based on their actual performance metrics, allowing them to objectively assess whether selected products suit their running style without external intervention.

Inventive Principle:

Principle #25Self-service

2Loss of time

If runners use subjective feelings to evaluate products, then the evaluation process is quick and requires minimal effort, but it is difficult to realize whether the products have led to enhancement of performance

Engineering Contradiction:

Improvetime required for evaluationVSAvoidaccuracy of performance enhancement detection

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The system implements automated feedback by continuously monitoring motion data and comparing it against performance goals. It provides immediate feedback to runners about whether their selected products are achieving desired performance enhancements, using objective metrics rather than subjective feelings, thereby maintaining quick evaluation while improving accuracy.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent substitutes subjective self-assessment with automated computer analysis that objectively measures performance parameters. The system processes motion data through algorithms to detect performance enhancements, eliminating the time-consuming and inaccurate subjective evaluation process while providing precise, data-driven insights.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If there are many product models on the market, then the variety and potential suitability for different runners is increased, but it becomes more difficult to determine which product is most suitable for each individual runner

Engineering Contradiction:

Improvevariety of product modelsVSAvoidcomplexity of product selection

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system applies local quality by tailoring recommendations to individual runner characteristics. Instead of providing generic advice, the system analyzes each runner's specific motion data, physical attributes, and performance goals to generate personalized recommendations from the available product models, making the selection process simpler despite market variety.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent replaces manual comparison of multiple product models with automated computer analysis. The system processes available product information and runner data through algorithms to objectively determine the most suitable products, eliminating the complexity of manual evaluation while maintaining comprehensive consideration of all available models.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20240408446A1Exercise motion analysis system, exercise motion analysis method, and exercise motion analysis program

Publication Date: 2024.12.12 ASICS CORP

AI summary

In an exercise motion analysis system, an input unit inputs motion data corresponding to multiple types of motion parameters indicating motion states of a user who is running, and index data corresponding to an index parameter indicating exercise performance of the user in the running. An estimation unit estimates which of multiple types of motion parameters has a higher degree of contribution to enhancement of exercise performance for the user. An item storage unit stores information on multiple types of wearing tools. Based on wearing tool property data that includes a property, determined for each of multiple types of wearing tools, indicating which of multiple types of motion parameters is changed to contribute to enhancement of exercise performance, a selection unit selects a wearing tool having a property of changing a motion parameter of a type estimated by the estimation unit and thereby contributing to enhancement of exercise performance.