Bicycle Sizing via 3D Avatar and Growth Prediction
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Solution Overview
Problem
Current methods for determining bicycle sizing for riders, especially children, are laborious and often result in improperly fitted bikes, leading to safety concerns and the purchase of lower quality bicycles due to lack of knowledge about future fitment.
Innovation Solution
A computing system that uses interactive user interfaces to determine suitable bicycle sizes based on a child's height and age, generating an avatar and bicycle representation, and providing an estimation of bike life through dynamic calculations and sizing models, allowing users to select and visualize the best fitting bicycle without physical interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical trying out of multiple bicycle sizes is performed, then accurate bicycle sizing is achieved, but time consumption and labor increase
Solution Approach 1:
The patent creates a virtual copy of the child rider through a 3D avatar that replicates the child's physical dimensions and appearance. This virtual avatar can be tested against multiple bicycle sizes digitally, eliminating the need for physical trial rides while maintaining sizing accuracy. The avatar is generated from parent-provided child characteristics and can be adjusted to match the child's growth over time.
Solution Approach 2:
The patent introduces a computer system as an intermediary between the parent and the physical bicycle selection process. The system includes a virtual reality interface, 3D avatar generation algorithms, and bicycle dimension databases that work together to determine the optimal bike size without requiring the parent to physically try out multiple bikes. The intermediary system processes child characteristics and growth data to recommend appropriate bicycle dimensions.
2Productivity
If parents purchase bicycles without knowledge of future fitment, then immediate purchase is possible, but safety and quality are compromised
Solution Approach 1:
The patent performs preliminary actions by calculating the child's future dimensions and predicting when they will outgrow the selected bicycle before the purchase is made. The system uses growth rate algorithms to determine the child's expected height and inseam at future ages, allowing parents to select a bicycle size that will remain appropriate for an extended period. This preliminary growth prediction ensures long-term fitment reliability rather than immediate purchase based on current dimensions alone.
Solution Approach 2:
The patent implements feedback mechanisms that provide parents with information about the child's growth trajectory and when they will need to upgrade to a larger bicycle. The system continuously monitors or allows input on the child's actual growth and compares it against the predicted growth rates, giving feedback about whether the selected bicycle size is optimal for the child's current and future needs. This feedback loop enables informed purchasing decisions that balance immediate availability with long-term suitability.
Data Source
AI summary
A bicycle sizing system interacts with a user to provide real-time and interactive bicycle sizing information for a rider, such as a child. A growth rate of the child is estimated based on growth models and is usable to estimate a length of time a recommended bicycle will be usable by the child.