Tilting Controller for Customized Footwear Lasts
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Solution Overview
Problem
Current footwear purchasing methods, especially online, face challenges in ensuring wearing comfort due to variations in foot shape and size, leading to user fatigue, accidents, and body deformation, as they rely on standard sizing without considering foot-related biomechanical data.
Innovation Solution
A tilting controller that measures foot pressure data and uses machine learning to provide customized last information, allowing users to purchase footwear with improved comfort online by collecting and analyzing foot-related biomechanical data, including pressure distribution, foot shape, and user satisfaction, to generate optimized tilting conditions for personalized footwear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard sizing is used for online footwear purchasing, then purchasing convenience is improved, but wearing comfort deteriorates due to foot shape variations
Solution Approach 1:
The patent applies parameter changes by transitioning from standard size parameters to customized last parameters based on foot pressure distribution data. The system measures multiple pressure parameters (Pmax, Pavg, Pd) under different tilting conditions and uses these to generate personalized last information, thereby resolving the contradiction between standard sizing convenience and customized comfort.
Solution Approach 2:
The patent implements preliminary action by collecting and analyzing foot pressure data before the actual footwear purchasing decision. The system performs machine learning analysis on pressure distribution data under various tilting conditions to predict optimal last parameters in advance, allowing users to make informed purchasing decisions without physical try-ons.
2Loss of time
If footwear is purchased without trying on, then time and exchange costs are reduced, but wearing comfort reliability deteriorates
Solution Approach 1:
The patent applies copying by creating a digital replica of the user's foot characteristics through pressure distribution measurements. The system generates virtual last information that copies the unique biomechanical features of the user's foot, enabling accurate footwear selection without physical try-ons and eliminating the need for exchanges.
Solution Approach 2:
The patent replaces the mechanical try-on process with a computational system. Instead of physically trying on multiple footwear sizes and styles, the system uses pressure sensors, tilting mechanisms, and machine learning algorithms to substitute the physical trial process with automated data collection and analysis, thereby saving time while maintaining or improving comfort reliability.
3Reliability
If customized last information is provided, then wearing comfort is improved, but system complexity increases due to data collection and machine learning requirements
Solution Approach 1:
The patent applies segmentation by dividing the complex data collection process into distinct functional modules: pressure measurement module, tilting control module, and data processing module. Each module handles a specific aspect of the measurement process, making the overall complex system more manageable and easier to implement while achieving customized last information generation.
4Measurement precision
If multiple tilting conditions are measured, then measurement precision of foot shape is improved, but measurement time and data processing complexity increase
Solution Approach 1:
The patent applies periodic action by measuring foot pressure under multiple discrete tilting conditions (different angles and positions). The system systematically varies the tilting parameters in a periodic manner, collecting data at each stage, and then synthesizes this multi-stage data through machine learning to achieve high-precision foot shape measurement while managing measurement time through structured data collection.
Data Source
AI summary
The present invention discloses a tilting controller that measures foot-related human biomechanical data. The tilting controller for measuring foot-related human biomechanical data includes a mechanism having a foot hold on which a rear foot portion is placed, and a control module that tilts the foot hold by controlling the mechanism portion.