Sit-to-Stand Stability Assessment Using Multi-View Image Analysis
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Solution Overview
Problem
Conventional methods for assessing biomechanical stability during sit-to-stand (STS) movements lack comprehensive evaluation of whole-body dynamics, particularly the upper body's influence, and fail to provide precise weight-bearing assessments, leading to subjective and labor-intensive evaluations.
Innovation Solution
A method and system that utilizes image analysis to identify the area of contact and line of gravity from multiple images, calculating biomechanical stability by tracking body segments and weight distribution, providing objective and precise assessments of STS movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to assess biomechanical stability, then the evaluation process is simple and quick, but the measurement precision and comprehensiveness are insufficient
Solution Approach 1:
The patent replaces manual mechanical assessment methods with an automated computer vision system. The system uses image processing algorithms to automatically detect body segments, calculate center of gravity, determine base of support area, and compute biomechanical stability metrics, eliminating the need for manual observation and physical measurement tools.
Solution Approach 2:
The patent introduces a computer vision system as an intermediary between the subject performing STS movement and the assessment process. The system captures images, processes them through algorithms to extract biomechanical parameters, and provides objective measurements without direct human intervention in the measurement process.
2Productivity
If professional observation by physical therapists is used, then qualitative evaluation is provided, but the assessment is labor-intensive and subjective
Solution Approach 1:
The system enables self-service assessment where the computer vision system automatically performs all measurements and calculations without requiring trained physical therapists. The algorithm independently detects body segments, calculates biomechanical parameters, and generates assessments, allowing anyone to conduct standardized objective measurements.
Solution Approach 2:
The patent replaces the mechanical process of manual observation and physical measurement with automated image processing. The system uses computer vision algorithms to detect body positions, calculate center of gravity trajectories, determine base of support areas, and compute stability metrics objectively and consistently.
3Measurement precision
If single-field-of-view video analysis is used, then the device complexity is low, but the measurement precision for weight-bearing assessment is insufficient
Solution Approach 1:
The patent transitions from two-dimensional single-view video analysis to three-dimensional multi-view image analysis. By capturing images from multiple fields of view (frontal, lateral, and posterior), the system creates a comprehensive three-dimensional representation of body segments, enabling precise calculation of center of gravity, base of support area, and weight-bearing distribution that cannot be achieved with single-view analysis.
Data Source
AI summary
The present disclosure provides a method, an apparatus and a system for determining a biomechanical stability of a target in performing a movement from a sitting position to a standing position comprising: identifying, from each of a plurality of images, (i) an area on a ground which the target is in contact with and (ii) a line of gravity of the target projecting from a center of gravity of the target and perpendicular to the ground, wherein the each of the plurality of images showing one of a series of movements of the target moving from the sitting position to the standing position; and calculating a degree of biomechanical stability of the target in performing the movement from the sitting position to the standing position based on the areas and the lines of gravity of the target identified from the plurality of images.