Motion-Based Interactive Platform for 3D Posture Analysis
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Solution Overview
Problem
Current edtech tools are inadequate for effectively displaying and analyzing 3D movements in online learning environments, particularly for activities like yoga, dancing, and sports, as they are limited to 2D projections, failing to accurately depict fine movements and provide real-time feedback.
Innovation Solution
A platform utilizing modular sensing devices attached to the body to capture and analyze complex motions, generating 3D avatars for comparison with instructor models, allowing for real-time feedback and correction guidance without the need for cameras, using inertial sensors and cloud-based processing for scalable and accurate motion analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If 2D display technology is used to show instructor movements, then the display is simple and compatible with current devices, but fine movements and 3D spatial information are lost
Solution Approach 1:
The patent transforms 3D motion capture data into 2D visual representations that preserve spatial relationships. The motion capture system records movements in three dimensions, then renders them as 2D silhouettes or wireframe models on standard displays, maintaining depth information through shading, layering, and perspective techniques that allow instructors and students to perceive 3D posture differences on 2D screens.
Solution Approach 2:
The system creates digital copies of the instructor's and student's bodies using motion capture technology. These digital avatars replicate physical movements with high fidelity, allowing the instructor's movements to be copied and displayed in real-time alongside student movements for comparison and correction purposes.
2Measurement precision
If multiple cameras are used to capture 3D movements, then movement accuracy improves, but system complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical camera-based motion capture system with an inertial sensor system. Instead of using multiple cameras to track reflective markers, the system uses accelerometers, gyroscopes, and magnetometers embedded in wearable devices to directly measure body segment movements, eliminating the need for complex camera infrastructure while maintaining measurement precision.
Solution Approach 2:
The motion capture system is segmented into multiple independent wearable devices placed on different body parts. Each device independently captures local motion data, and the system integrates these segmented measurements to reconstruct full-body 3D movements, distributing the measurement function across multiple simple units rather than requiring a single complex camera system.
3Productivity
If real-time motion feedback is provided to students, then learning effectiveness improves, but processing power and infrastructure requirements increase
Solution Approach 1:
The system enables students to self-assess their movements by comparing their digital avatars with the instructor's reference movements. The motion feedback is automatically generated and displayed without requiring constant instructor intervention, allowing students to independently identify and correct their own posture errors while the system handles all processing and comparison operations.
Solution Approach 2:
The instructor's movements are captured and stored as reference models in advance. During student practice, the system simply compares student movements against these pre-established references, eliminating the need for real-time complex analysis and reducing processing requirements to basic motion comparison and deviation calculation.
Data Source
AI summary
Techniques for a motion-based online interactive platform are described. The platform allows a teacher to visualize motions performed by a student in a perspective and how close the motions are in view of an authoritative instructor (model). Depending on implementation, the platform may be implemented as an application, a Teacher App or a student App. Each may be executed in a computer or control computer associated with an instructor or teacher or computing devices associated with students. Each of the computing devices is coupled to or includes a camera, where the camera is used by a student to show his presence or poses he performs. Data streams from the computing devices are received in the control computer.