Automatic Viewing Configuration for 3D Motion Analysis
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Solution Overview
Problem
Current unsupervised home-stroke rehabilitation systems using inertial sensors require manual selection of viewing configurations by patients or therapists to analyze 3D movement data, which is inefficient due to lack of expertise and cognitive impairments, and existing systems restrict viewing to pre-defined angles or steps of 90 degrees, limiting optimal analysis.
Innovation Solution
A method and system for automatically determining the viewing configuration of a rendered figure by capturing 3D motion data, comparing it to reference data, and adjusting rotation, tilt, and zoom based on deviation measurements to focus on regions of interest, allowing optimal analysis without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual selection of viewing configuration is required, then system complexity is reduced, but analysis efficiency deteriorates due to lack of patient expertise and cognitive impairments
Solution Approach 1:
The system automatically determines the optimal viewing configuration by analyzing 3D motion data without requiring user input or expertise. The computer system independently processes the motion data, identifies the best viewing angle, and presents it to the user, enabling the system to serve itself rather than requiring manual user selection.
Solution Approach 2:
The system changes the viewing parameters (rotation, tilt, zoom) automatically based on the analyzed motion data. By computing deviation measurements and main motion directions from the 3D motion data, the system dynamically adjusts the viewing configuration parameters to optimize the presentation of movement patterns.
2Measurement precision
If pre-defined viewing angles are restricted, then system operation is simplified, but analysis precision deteriorates due to inability to focus on specific regions of interest
Solution Approach 1:
The viewing configuration is made dynamic rather than static. Instead of being fixed at pre-defined angles, the system continuously adjusts the viewing parameters based on the analyzed motion data, allowing the viewing angle to adapt to the specific movement patterns and regions of interest identified in the 3D motion capture.
Solution Approach 2:
The system uses feedback from the 3D motion data analysis to automatically adjust the viewing configuration. By measuring deviation from reference motion data and identifying main motion directions, the system receives feedback about what viewing angle would be most informative and automatically selects that configuration.
3Adaptability or versatility
If multiple viewing configurations are made available, then analysis versatility is improved, but user burden increases due to selection responsibility falling on patients or therapists
Solution Approach 1:
The system performs preliminary analysis of the 3D motion data before presenting the viewing configuration to the user. By pre-computing the optimal viewing parameters based on deviation measurements and motion direction analysis, the system eliminates the need for users to spend time selecting configurations, as the best view is already determined in advance.
Data Source
AI summary
A method for determining a viewing configuration of a rendered figure of a rehab-patient or a sports trainee, aiming to deliver a suitable view on the rendered figure, the method comprising the steps of capturing motion data in the 3D space of one or more body parts of the rehab-patientor the sports trainee and providing them to a computer; and further the step of performing on the computer measurements of deviation of the captured motion data from a reference list of motion data and/or measurements of main motion direction; and based on the results of the above measurements, determining the viewing configuration.