Human Motion Tracking via 2D-to-3D Inverse Kinematics
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Solution Overview
Problem
Current musculoskeletal analysis methods are subjective and time-consuming, relying on trained professionals, which limits their effectiveness and adoption in assessing physiological deficiencies and providing corrective exercises.
Innovation Solution
A system and method using a smart device with optical sensing instruments and pressure mats to capture and analyze human motion data, converting 2D images into 3D joint positions, and calculating scores for mobility, activation, and symmetry to provide objective exercise recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional musculoskeletal analysis methods are used by trained professionals, then measurement precision is improved, but device complexity and time consumption increase
Solution Approach 1:
The patent replaces the mechanical/subjective assessment system performed by trained professionals with an optical sensing system that uses cameras and image processing algorithms to automatically detect and analyze human motion. The system captures images, identifies body landmarks, calculates joint angles, and provides objective musculoskeletal analysis without requiring specialized human expertise.
Solution Approach 2:
The system enables self-assessment by allowing users to perform musculoskeletal analysis independently without needing trained professionals. The automated image processing and analysis algorithms empower users to conduct their own evaluations, reducing dependency on external experts while maintaining measurement quality.
2Measurement precision
If traditional musculoskeletal analysis methods are used by trained professionals, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent substitutes the time-consuming manual assessment process with automated optical sensing and image processing. The system rapidly captures images, processes them through algorithms to identify body landmarks and calculate joint angles, and generates analysis results automatically, dramatically reducing the time required for musculoskeletal evaluation while maintaining or improving precision.
Solution Approach 2:
The system enables continuous automated analysis of human motion through sequential image capture and processing. Multiple images can be analyzed in rapid succession, allowing for dynamic movement assessment and providing continuous feedback without the interruptions and time constraints associated with manual professional assessment.
3Productivity
If automated optical sensing systems are used, then productivity is improved, but measurement precision may worsen
Solution Approach 1:
The system incorporates feedback mechanisms where the automated image processing algorithms continuously refine their calculations based on detected body landmarks and calculated joint positions. The system can validate measurements against anatomical constraints and provide feedback for correction, ensuring high measurement precision while maintaining automated high-speed processing capability.
Solution Approach 2:
The patent transitions from two-dimensional image data to three-dimensional joint position calculations through inverse kinematics. By processing 2D image coordinates and transforming them into 3D spatial relationships, the system maintains measurement precision while enabling automated analysis. This dimensional transformation allows accurate reconstruction of body segment orientations and joint angles from planar images.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach minimizes subjectivity and enhances the accuracy of musculoskeletal analysis, enabling automated biomechanical evaluations and personalized exercise recommendations, improving the efficiency and effectiveness of musculoskeletal assessments.
Implementation Method 1
a smart device with an optical sensing instrument monitors a stage having a mat
Data Source
AI summary
A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage having a mat. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument while capturing a data frame from the mat. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset in conjunction with the data frame, the position of each of the respective plurality of body parts in the image frame.