Image-Based 3D Pose Analysis for Continuous Frailty Screening
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Solution Overview
Problem
Current healthcare systems face challenges in conducting objective and continuous assessments of physical performance, fall risk, and frailty/sarcopenia screening for elderly individuals due to the reliance on expensive equipment and clinical settings, which limits early detection and prevention of falls and frailty progression.
Innovation Solution
A method and device using image analysis, including RGB and depth information, to estimate a person's three-dimensional pose and analyze clinical judgment criteria indicators, providing clinical evaluation information on physical function, fall risk, and frailty/sarcopenia without intrusive equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive motion analysis equipment and clinical settings are used to conduct objective physical performance evaluations, then measurement precision and reliability are improved, but device complexity and cost increase, making widespread utilization difficult
Solution Approach 1:
The patent uses image sensors to capture visual representations of human movement and replaces expensive motion analysis equipment with a camera-based system. The image data is processed through pose estimation algorithms to extract physical performance parameters, effectively creating a digital copy of the evaluation process that is more accessible and less expensive.
Solution Approach 2:
The patent substitutes mechanical motion capture equipment with an optical imaging system. Instead of using sensors that directly measure movement mechanics, the system uses cameras to capture visual information and computationally derives movement parameters through pose estimation and image processing algorithms.
2Measurement precision
If clinical evaluations are conducted by medical professionals in controlled settings, then measurement precision is improved, but loss of time increases due to appointment scheduling, result recording, and review requirements
Solution Approach 1:
The system enables self-service evaluation where individuals can perform physical performance tests independently using the image sensor and pose estimation system. The automated pose estimation and parameter extraction eliminate the need for professional evaluators to manually assess and record results, allowing users to conduct evaluations at their own convenience.
Solution Approach 2:
The patent replaces manual clinical assessment procedures with automated image processing and pose estimation algorithms. The system automatically extracts physical performance parameters from image data, eliminating the time-consuming manual observation, recording, and review processes required in traditional clinical settings.
3Adaptability or versatility
If qualitative movement evaluations are included to provide comprehensive assessment, then adaptability and completeness of evaluation are improved, but measurement precision decreases due to subjectivity and lack of quantitative reliability
Solution Approach 1:
The patent segments the evaluation into distinct components: pose estimation for movement analysis, image processing for spatial measurement, and parameter extraction for quantitative output. This segmentation allows the system to handle complex movement patterns through multiple processing stages while maintaining objective, quantitative measurement through standardized algorithms.
Solution Approach 2:
The patent introduces pose estimation algorithms as an intermediary between image capture and physical performance assessment. This intermediary layer translates visual data into standardized pose parameters and movement metrics, providing both comprehensive movement analysis and objective quantitative measurements through computational processing.
4Ease of operation
If evaluations are conducted as one-time measurements in clinical settings, then ease of operation is improved, but loss of information decreases due to low correlation with real-life physical performance and inability to monitor progression
Solution Approach 1:
The patent enables continuous evaluation through repeated image capture over time. The system can monitor physical performance progression, track changes in movement patterns, and provide longitudinal data on physical function. This continuous monitoring capability allows the system to capture real-life performance variations and progression trends that single-time measurements miss.
Data Source
AI summary
A method and device for providing clinical evaluation information by using an image are provided. The method for providing clinical evaluation information by using an image includes the steps of: actively or passively acquiring a photographed image, estimating a 3D posture of a person using only one of depth information and 2D body coordinate information of the person, obtained based on the photographed image, or by integrating the two pieces of information, analyzing a clinical determination criteria indicator according to the person's posture, on the basis of the 3D posture to analyze the person's motion, and generating and providing person's clinical evaluation information based on the clinical determination criteria indicator.