3D Printed Assistive Tool Modeling via Shape Templates
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Solution Overview
Problem
Current assistive tools for body injuries or diseases require time-consuming and labor-intensive customization and fitting processes, necessitating a more efficient and user-friendly method for modeling and applying these tools based on individual body characteristics.
Innovation Solution
A method involving the creation of user-customized assistive tools using three-dimensional body imaging, shape templates tailored to disease and injury sites, with a pre-learned fit analysis model to assess wear suitability, and processing these templates for precise fitting, including adjustment of size, compression intensity, and arrangement angle, ultimately outputting a customized model for 3D printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional manual analysis and fitting processes are used for assistive tools, then customization precision is improved, but time consumption and labor requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple shape templates for different body parts and disease conditions before the actual customization process. These templates contain pre-analyzed geometric characteristics and fitting parameters, allowing the system to quickly select and adapt appropriate templates rather than performing manual analysis from scratch for each user, thereby significantly reducing time consumption while maintaining customization precision
Solution Approach 2:
The patent uses copying by creating digital 3D models of body parts from scanned data and generating virtual prototypes of assistive tools based on selected templates. These digital copies allow for virtual simulation and validation of fitting without requiring physical prototypes or extensive manual measurement, reducing both time and material waste while preserving customization accuracy
2Manufacturing precision
If traditional manual analysis and reprocessing are used for assistive tools, then customization precision is improved, but labor requirements increase
Solution Approach 1:
The patent implements self-service by enabling the system to automatically perform template selection, parameter adjustment, and model generation based on input data about the user's body characteristics and disease conditions. The automated algorithm independently completes tasks that traditionally required manual expert analysis, reducing labor requirements while maintaining precision through systematic computational methods
Solution Approach 2:
The patent applies parameter changes by systematically adjusting key geometric parameters of the assistive tool models based on user-specific data. The system modifies dimensions, curvature, and other critical parameters automatically according to measured body part characteristics, replacing complex manual reprocessing with controlled parameter optimization that maintains precision while simplifying the overall process
3Measurement precision
If shape templates are provided based on multiple user characteristics, then customization accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the comprehensive customization process into distinct modules: body scanning, characteristic extraction, template selection, parameter adjustment, and model generation. Each module processes specific aspects of user data independently, making the overall complex data processing manageable through structured segmentation while maintaining high customization accuracy through integrated results
Data Source
AI summary
Proposed is an apparatus for modeling a user-customized assistive tool. The apparatus includes at least one processor; and a memory electrically connected to the processor to store at least one code executed by the processor. Accordingly, modeling of the assistive tool can be performed more easily, quickly and accurately.