Gait-Based Emotion Estimation Without Special Subject Measurements

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Solution Overview

Problem

Existing methods for estimating emotional state require capturing expressions or biological data, which are not straightforward and often necessitate special efforts from the subject, making it difficult to quantify heart health effectively.

Innovation Solution

An emotion estimating device and system that utilize walking data from a measurement device, such as smart shoes, to associate gait parameters with emotional states, allowing estimation based on daily activities without additional effort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If expression imaging or biological information acquisition is used to estimate emotion, then emotion estimation accuracy is improved, but operational complexity and subject burden increase

Engineering Contradiction:
Improveemotion estimation accuracyVSAvoidsubject burden
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent replaces complex measurement systems (expression imaging devices, biological sensors) with a simple mobile terminal device that captures existing walking behavior data. This substitution maintains emotion estimation capability while eliminating the need for special expression capture equipment or biological information acquisition devices, thereby reducing operational complexity and subject burden.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system utilizes walking data that subjects naturally generate during their daily activities without requiring them to perform special tasks. The mobile terminal automatically captures walking parameters (stride, speed, rhythm) during normal movement, transforming routine behavior into useful data for emotion estimation without adding operational burden to the subject.

Inventive Principle:
Principle #25Self-service

2Productivity

If special measurement devices are deployed to capture walking data, then data acquisition capability is improved, but device complexity increases

Engineering Contradiction:
Improvedata acquisition capabilityVSAvoidmeasurement device complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent employs a mobile terminal device that serves multiple functions: it acts as both a communication device for daily use and a walking data acquisition device for emotion estimation. This multi-functionality eliminates the need for specialized measurement equipment, maintaining data acquisition capability while avoiding additional device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The mobile terminal device automatically performs data acquisition during normal operation without requiring special measurement equipment. The device self-services by capturing walking parameters through its existing sensors and processing capabilities, eliminating the need for separate specialized measurement devices.

Inventive Principle:
Principle #25Self-service

Data Source

PatentEP4331483B1Emotion estimating device, emotion estimating system, and emotion estimating method
Publication Date: 2025.10.01 ASICS CORP
  • EP4331483B1 patent drawingFigure 1
  • EP4331483B1 patent drawingFigure 2
  • EP4331483B1 patent drawingFigure 3

AI summary

An emotion estimating device, an emotion estimating system, and an emotion estimating method capable of estimating an emotion of a subject based on information obtained from daily activities can be provided. An emotion estimating device (1) includes an interface that receives input of walking data of a subject (P) measured by a measurement device (2) and emotion data obtained by quantifying the emotion of the subject (P), a storage that stores the walking data and the emotion data, and an computer that obtains corresponding data in which a plurality of walking parameters included in the walking data stored in the storage are associated with the emotion data. When the interface newly receives the input of the walking data, the computer estimates the emotion of the subject (P) from the plurality of walking parameters included in the newly received walking data, and outputs information indicating the estimated emotion of the subject (P).