Skeleton Motion Visualization for Comparable Walk Cycles
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Solution Overview
Problem
Existing motion visualization systems struggle to accurately compare movement trajectories of a target person across different environments and time periods, making it difficult to assess changes in motion function and provide effective guidance.
Innovation Solution
A motion visualization system that includes a skeleton recognition unit, cycle extraction unit, and transformation unit to normalize and transform skeleton coordinate information into a reference coordinate system, allowing for consistent comparison of walk cycles and features across varying environments and time frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If movement trajectory is displayed based on skeleton coordinate information extracted from images, then the movement trajectory can be visualized, but the measurement data cannot be accurately compared across different environments and time periods
Solution Approach 1:
The patent transforms skeleton coordinate information by changing the reference parameter from camera coordinate system to a standardized coordinate system where the traveling direction is aligned with a specific axis. This parameter transformation enables consistent comparison of movement trajectories across different environments and time periods by eliminating environmental variables from the comparison.
Solution Approach 2:
Instead of adapting the measurement system to different environments, the patent inverts the approach by transforming all measurement data into a unified reference frame. Rather than making the system environment-adaptive, it makes the data environment-invariant through coordinate transformation.
2Loss of information
If skeleton coordinate information is used directly for comparison, then the data processing is simple, but the comparison results are meaningless due to environmental differences
Solution Approach 1:
The patent applies parameter transformation to convert skeleton coordinate information from camera-specific coordinate systems to a standardized coordinate system. This transformation preserves essential movement information while removing environmental dependencies, achieving meaningful comparison without excessive complexity.
3Measurement precision
If movement trajectory is visualized in the original coordinate system, then the visualization is straightforward, but the improvement due to passage of time or instructional intervention cannot be grasped
Solution Approach 1:
The patent transforms the coordinate system parameter to enable accurate detection of improvements over time. By aligning the traveling direction with a specific axis in the standardized coordinate system, the system can precisely measure changes in movement trajectories resulting from instructional interventions or natural progression.
Data Source
AI summary
A motion visualization system 1 includes a skeleton recognition program 2 obtaining joint coordinates of a target person, a pitch extraction program 6 extracting a walk cycle of the target person based on the joint coordinates, and a storage unit 106 storing a skeleton normalization program 3 transforming coordinates of the joint coordinates in a reference coordinate system where a direction in which a predetermined portion of the target person moves is set as an axis of a traveling direction in one walk cycle extracted and transforming the joint coordinates based on information on the target person.