Attribute-Specific Gait Estimation for Pronation and Swing Phase
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Solution Overview
Problem
Existing gait analysis methods require expert interpretation and cannot accurately determine pronation/supination abnormalities without considering attributes like gender and age, and fail to analyze features in the swing phase.
Innovation Solution
An estimation device that extracts feature amounts from gait waveforms based on sensor data, using attribute-specific inference models to estimate physical conditions such as pronation/supination, incorporating gender and age considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gait analysis is performed using sensor data without considering user attributes, then the analysis process is simple, but the determination accuracy of pronation/supination abnormalities is insufficient
Solution Approach 1:
The patent segments the gait analysis process by dividing users into different groups based on attributes (gender, age) and creating separate determination standards for each group. This allows accurate determination for each segment while maintaining a systematic approach that doesn't require complex individualized analysis for each user.
Solution Approach 2:
The patent changes the determination parameters by creating multiple determination standards based on user attributes. Instead of using a single fixed threshold, the system selects appropriate thresholds from multiple standards based on the user's gender and age, thereby improving accuracy without requiring complex adaptive algorithms.
2Ease of operation
If expert interpretation is required for gait analysis results, then the analysis can be comprehensive, but the ease of operation deteriorates due to requiring specialized knowledge
Solution Approach 1:
The patent enables the system to automatically perform the interpretation function that previously required experts. By pre-establishing multiple determination standards covering different user attributes and automatically selecting the appropriate standard based on user input, the system provides expert-level interpretation without requiring expert operators.
3Measurement precision
If plantar pressure data is used for gait analysis, then foot abnormalities can be detected, but features in the swing phase cannot be extracted
Solution Approach 1:
The patent merges multiple data sources and measurement phases. It combines plantar pressure data (stance phase) with inertial sensor data that captures swing phase motion. By integrating these different types of measurements, the system achieves both accurate foot abnormality detection and swing phase feature extraction.
Data Source
AI summary
An estimation device including a feature amount extraction unit that extracts, from a gait waveform extracted from time series data of sensor data based on a motion of a foot of a user, a feature amount according to an attribute of the user in a section in which a feature of a physical condition according to the attribute of the user appears; and estimates the physical condition of the user using the feature amount extracted according to the attribute of the user.