3D Depth Camera Skeleton Analysis for Joint Motion Measurement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for examining and evaluating musculoskeletal-related pain fail to accurately measure individual joint motion ranges, leading to compensatory movements and structural damage due to generic exercise approaches that do not account for personal body characteristics.
Innovation Solution
A system and method using a 3D depth camera to create a skeleton image on a grid pattern, specifying feature points and motion points, and an information processor to measure body and posture information, and track joint motion ranges, providing exercise feedback tailored to each individual.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If generic exercise methods are used for all individuals, then exercise program implementation is simple and standardized, but measurement precision of individual joint motion range deteriorates leading to inaccurate exercise recommendations
Solution Approach 1:
The system segments the body into multiple joints and specifies feature points for each joint (shoulder, elbow, wrist, hip, knee, ankle). By dividing the body into measurable segments with identifiable feature points, the system enables precise individualized measurement while maintaining systematic implementation through standardized point specification methods.
Solution Approach 2:
The system creates a digital skeleton model that copies and represents the physical body's structure and motion characteristics. This digital copy allows for accurate measurement and analysis of joint motion ranges without requiring physical contact or complex measurement devices, enabling precise individualized assessment while keeping the implementation process simple and standardized.
2Measurement precision
If individualized exercise programs are developed based on accurate joint motion range measurement, then exercise recommendation accuracy is improved, but device complexity and measurement system requirements increase
Solution Approach 1:
The system replaces complex mechanical measurement devices with a camera-based optical system. By using image processing and computer vision techniques to capture and analyze body movements, the system achieves accurate joint motion range measurement without requiring complex mechanical sensors, goniometers, or physical contact devices, thereby reducing overall system complexity while maintaining high measurement precision.
3Ease of operation
If compensatory movements are not detected and corrected, then exercise execution is simpler without real-time monitoring, but harmful effects increase due to structural damage from improper movement patterns
Solution Approach 1:
The system implements real-time feedback by continuously monitoring joint motion ranges and comparing them against ideal ranges. When compensatory movements are detected (deviations from proper movement patterns), the system provides feedback to correct the movement, preventing structural damage and pain while maintaining relatively simple exercise execution through automated monitoring and correction guidance.
Data Source
AI summary
According to an embodiment, a system comprises a target image display forming a skeleton image of a subject on a grid pattern with a predetermined unit length and coordinates via image processing by a three-dimensional (3D) depth camera, specifying, on the skeleton image, feature points corresponding to the subject's joints, a reference point corresponding to a measurement target among the feature points, and a motion point corresponding to a joint moving with respect to the reference point, and generating a connection line connecting the feature points and an information processor obtaining the body information from the skeleton image using the feature points, the connection line, the grid pattern, and a gravity line and median line of the subject, evaluating the posture information according to a preset posture classification criterion, and measuring the joint motion range by tracking motion of the motion point with respect to the reference point.