Joint Contact Position Parameter Determination Using 3D Bone Models
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Solution Overview
Problem
Current methods lack an efficient way to determine the six parameters of a contact position between two bones, which are essential for visualizing the range of motion and creating sample datasets for joints, especially when only a subset of parameters is given.
Innovation Solution
A data processing method that involves acquiring 3D models of the bones, selecting initial values for two missing parameters, and varying them virtually to achieve contact, using collision detection techniques and iterative searches to determine the remaining parameters, ensuring the bones are in contact while avoiding penetration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If collision detection techniques and iterative searches are used to determine the remaining parameters, then the accuracy of contact position determination is improved, but the computational complexity and processing time increase
Solution Approach 1:
The method selects initial values for the two missing parameters before performing collision detection, establishing a starting point that guides the iterative search process and reduces the computational space that needs to be explored
Solution Approach 2:
The iterative search process uses feedback from collision detection results to adjust and refine the parameter values, continuously improving accuracy by learning from each iteration's outcome until contact is achieved
2Reliability
If iterative searches are performed to vary the two missing parameters, then the reliability of achieving contact without penetration is improved, but the processing time increases
Solution Approach 1:
The system performs self-validation through iterative collision detection, automatically adjusting parameters to ensure contact is achieved without penetration, making the process self-correcting and reliable without external intervention
3Loss of information
If six parameters are determined for complete contact position definition, then the completeness of joint kinematic representation is improved, but the data processing complexity increases
Solution Approach 1:
The six parameters are segmented into two given parameters and two missing parameters, allowing the system to work with known information first and then systematically determine the unknown parameters through targeted computational processes
Data Source
AI summary
A data processing method for determining six parameters, corresponding to six degrees of freedom, of a contact position of a joint which connects two bones, comprising the steps of acquiring a 3D model of each bone, acquiring four of the six parameters as a given parameters, selecting initial values for the two remaining parameters and varying the two remaining parameters virtually in order to achieve a virtual relative position between the two 3D models such that they are in contact with each other.


