Foot Size Prediction Device for Shoe Sizing
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Solution Overview
Problem
Current methods fail to accurately predict future foot size changes, leading to shoes being either too tight or too large, as they do not account for individual variations in foot size growth over time, resulting in inappropriate shoe sizing.
Innovation Solution
An information notification device that includes a longitudinal-data storage unit, user-data storage unit, and a foot-size prediction unit to predict future foot size changes based on current size and user data, displaying the predictions on a display unit for informed shoe purchasing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If shoe size is selected based on current foot size, then shoes fit well now, but shoes become too tight in the future due to foot growth
Solution Approach 1:
The system performs preliminary prediction of future foot size before shoe purchase by analyzing longitudinal foot size data and growth patterns. This allows users to select shoe sizes that will accommodate future growth, extending the usable period of shoes while maintaining fit accuracy throughout the growth period.
Solution Approach 2:
The system collects and analyzes longitudinal data on foot size changes over time to create personalized growth predictions. This feedback mechanism continuously improves prediction accuracy by incorporating actual growth patterns, enabling more reliable future foot size estimates for shoe sizing recommendations.
2Loss of time
If shoe size is selected larger to accommodate future growth, then shoes remain usable longer, but shoes become too large in the present
Solution Approach 1:
The system calculates optimal shoe size by preliminarily predicting future foot size and using this prediction to recommend a size that balances current fit with future growth accommodation. This prevents both premature tightness and excessive looseness by finding the optimal intermediate size based on growth trajectory analysis.
3Measurement precision
If individualized foot size prediction is implemented, then prediction accuracy improves, but system complexity increases
Solution Approach 1:
The system uses a general-purpose computing device that can perform multiple functions including data collection, longitudinal data storage, growth pattern analysis, and prediction calculation. This multi-functional approach achieves individualized prediction accuracy without requiring a complex dedicated system, as the same hardware platform handles all processing tasks.
Data Source
AI summary
An information notification device includes a longitudinal-data storage unit that accumulates, for a plurality of samples, longitudinal data indicating a temporal change in foot size of one sample, a user-data storage unit that stores user data containing a gender, an age, and a past foot size of a prediction target person, a foot-size prediction unit that predicts, based on a current foot size of the prediction target person and the longitudinal data, a change in foot size of the prediction target person in a period from a current point in time to a future point in time, and a notification processing unit that displays, on a display unit, the prediction of the change in foot size of the prediction target person in the period from the current point in time to the future point in time.