Human Motion Tracking via 2D to 3D Inverse Kinematics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current musculoskeletal analysis methods are subjective and time-consuming, relying on trained professionals, which limits their effectiveness and adoption in providing objective and efficient assessments and corrective exercises.
Innovation Solution
A system and method using a smart device with optical sensing instruments to capture and analyze human motion, converting 2D data into 3D using inverse kinematics, calculating joint positions, and providing scores for mobility, activation, posture, and symmetry to recommend exercises, minimizing subjectivity and requiring minimal professional intervention.
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 loss of time increases and device complexity increases
Solution Approach 1:
The patent replaces the mechanical/manual system of professional assessment with an automated optical sensing and computer vision system. The system uses cameras to capture motion data and automatically processes it through algorithms to generate musculoskeletal analysis, eliminating the need for manual measurement while maintaining or improving accuracy.
Solution Approach 2:
The system enables self-assessment capability where users can perform musculoskeletal analysis without requiring trained professionals. The automated processing and analysis algorithms allow the system to serve itself by automatically capturing, processing, and interpreting motion data to generate health assessments.
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 replaces the manual professional assessment process with an automated computer-based system that can process multiple assessments simultaneously. The optical sensing instruments and automated algorithms enable high-throughput processing without sacrificing measurement precision.
Solution Approach 2:
The system is designed to perform multiple assessment functions automatically, including capturing motion data, processing images, calculating joint positions, and generating comprehensive musculoskeletal reports. This multi-functionality increases productivity by consolidating multiple professional tasks into a single automated system.
3Productivity
If automated optical sensing systems are used, then productivity is improved and loss of time is reduced, but measurement precision may worsen
Solution Approach 1:
The patent employs sophisticated computer vision and image processing algorithms to ensure that the automated optical system achieves measurement precision comparable to or exceeding manual methods. The system uses multiple cameras and complex computational techniques to accurately determine joint positions and motion parameters.
Solution Approach 2:
The system introduces intermediate processing steps including image capture, coordinate transformation, and computational geometry calculations to bridge the gap between simple optical sensing and accurate musculoskeletal measurement. These intermediary computational steps ensure precision is maintained despite automation.
4Measurement precision
If traditional professional assessment methods are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system consolidates multiple professional assessment functions into a single integrated platform that handles data capture, processing, analysis, and reporting. This multi-functional design reduces the need for multiple separate devices and complex manual procedures while maintaining measurement precision.
Solution Approach 2:
The automated system performs all assessment functions independently without requiring complex manual setup or operation by trained professionals. The self-service capability simplifies the user interface and operational complexity while maintaining the precision of professional-grade measurements.
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. 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. 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, the position of each of the respective plurality of body parts in the image frame.