Footwear Sensor Tiredness Detection via Stride Analysis
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Solution Overview
Problem
Existing information processing systems inaccurately determine user tiredness based on impact data from electronic devices attached to shoes, as they may incorrectly identify users as tired when the impact number is below a threshold, regardless of actual fatigue levels.
Innovation Solution
An information processing apparatus and system that acquires data on foot movement from electronic devices attached to shoes, using acceleration, angular velocity, and position data to determine user tiredness by calculating stride length and related information, and applying determination criteria to accurately assess fatigue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the number of impacts is used as the sole criterion to determine user tiredness, then the determination process is simple, but the accuracy of tiredness determination deteriorates
Solution Approach 1:
The patent segments the tiredness determination process into multiple independent analysis components: stride length calculation, stride time calculation, impact force calculation, and trend analysis. Each component processes specific aspects of foot movement data separately, then combines them to form a comprehensive tiredness assessment. This segmentation allows complex multi-parameter analysis while maintaining organized, manageable processing steps.
Solution Approach 2:
The patent transforms the single-parameter impact count approach into multi-parameter analysis by calculating stride length, stride time, impact force, and their temporal trends. The system changes from using one static threshold to analyzing multiple dynamic parameters and their relationships, enabling more accurate tiredness determination that adapts to varying walking conditions.
2Device complexity
If a fixed threshold for impact number is used to determine tiredness, then the determination rule is simple, but the reliability deteriorates due to false positives
Solution Approach 1:
The patent replaces static fixed thresholds with dynamic adaptive thresholds that adjust based on user-specific baseline data and current walking conditions. The system calculates trend values comparing recent performance to historical baselines, allowing the determination criteria to dynamically adapt to individual user patterns, terrain variations, and environmental factors, thereby reducing false positives while maintaining simple decision logic.
3Device complexity
If only impact number data is collected from electronic devices, then the data collection process is simple, but the measurement precision of foot movement analysis deteriorates
Solution Approach 1:
The patent makes the electronic device multi-functional by enabling it to collect and process multiple types of foot movement data (acceleration, angular velocity, position) in addition to impact counting. The same sensor platform that detects impacts is also used to calculate stride parameters and movement characteristics, eliminating the need for separate specialized sensors while comprehensively improving measurement precision through diverse data sources.
Data Source
AI summary
An information processing apparatus acquires information indicating how the feet of a user wearing shoes move based on data acquired by an electronic device attached to the shoes and determines whether the user is tired based on the acquired information.