Age-Related Gait Motion Transformation via Biomechanical Observations
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Solution Overview
Problem
Current methods for age-related gait motion transformation in human characters are inefficient, relying on human-operated tasks like key framing or motion capture, which are time-consuming and impractical for immediate application of age-related kinetic features.
Innovation Solution
A method and apparatus for age-related gait motion transformation based on biomechanical observations, utilizing a pre-processing unit, age input unit, motion transformation unit, and output unit to generate natural and richer gait motions from basic motion data, involving postural deformation, timing adjustment, joint angle optimization, and foot-skating cleanup processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human-operated methods like key framing or motion capture are used for age-related gait motion transformation, then motion data can be obtained, but the process requires much time and cannot immediately capture age-related motions
Solution Approach 1:
The patent replaces manual mechanical operations (key framing, motion capture) with an automated computational system that uses biomechanical observation data and algorithms to perform gait motion transformation. The motion transformation unit automatically adjusts gait parameters based on age input without requiring human operators to manually capture or frame motions.
Solution Approach 2:
The system performs preliminary action by pre-collecting and organizing biomechanical observation data from multiple age groups, storing it as reference data. When transformation is needed, the system directly references this pre-prepared data rather than capturing new motion data, enabling immediate age-related motion transformation.
2Adaptability or versatility
If continuous motion capture is repeated for different target ages, then age-related motion variations can be captured, but the process is impractical and time-consuming
Solution Approach 1:
The patent creates copies of motion patterns by using biomechanical observation data from reference subjects of different ages. Instead of capturing motions from multiple target ages, the system copies and adapts gait parameters from pre-collected reference data corresponding to different age groups, enabling versatile age-related motion generation without repeated capture sessions.
Solution Approach 2:
The system achieves universality by creating a single motion transformation apparatus that can generate age-related gait motions for any target age using one set of reference biomechanical data. The motion transformation unit universally applies age-based parameter adjustments across different gait types and target ages, eliminating the need for age-specific capture procedures.
3Reliability
If basic motion data is transformed to reflect age-related changes, then natural and richer gait motions are achieved, but complex processing is required
Solution Approach 1:
The patent segments the gait motion transformation process into distinct functional units: a pre-processing unit that prepares basic motion data, a motion transformation unit that applies age-related adjustments, and an output unit that generates transformed motions. This segmentation allows complex transformation to be broken down into manageable, modular operations that maintain motion naturalness while organizing system complexity.
Solution Approach 2:
The system achieves natural age-related motions by changing specific gait parameters (such as stride length, cadence, joint angles) based on age input. The motion transformation unit adjusts these parameters according to biomechanical characteristics of different age groups, transforming basic motion data into age-appropriate motions through systematic parameter modification rather than complex re-capture.
Data Source
AI summary
An apparatus for motion transformation according to an embodiment of the present disclosure includes a basic data input unit through which basic motion data is inputted, a pre-processing unit which acquires a parameter through pre-processing of the inputted basic motion data, a motion transformation unit which performs biomechanical observations-based gait motion transformation processing based on the pre-processed parameter and age input information, and an output unit which outputs the transformation processed motion.