Body Position Correction via Computer Vision Pose Analysis
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Solution Overview
Problem
Traditional body correction techniques are hindered by poor network connections and faulty video equipment, which can result in low-quality or fragmented video streams, making it difficult for subject matter experts to accurately determine correction angles for body position adjustments.
Innovation Solution
A method and system that utilize machine learning models to receive an image of a body, determine its position, map markers to body positions, calculate body position angles, generate correction angles based on standard positions, and display correction messages to adjust body positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional body correction techniques use video streams for remote inspection, then experts can provide guidance, but poor network connections and faulty video equipment result in low-quality or fragmented video streams that prevent accurate determination of correction angles
Solution Approach 1:
The patent replaces the mechanical/video-based inspection system with a computer vision system that processes images to automatically detect body landmarks and calculate pose angles. This substitution eliminates dependence on video stream quality and expert visual inspection, directly resolving the contradiction between reliability of determination and loss of information in video streams.
Solution Approach 2:
The system enables self-service body position correction by automatically analyzing images, detecting landmarks, calculating pose angles, and generating correction feedback without requiring expert intervention. This automated approach ensures consistent accuracy regardless of video stream quality or expert availability.
2Ease of operation
If subject matter experts visually inspect body poses via video streams, then correction guidance can be provided, but experts are unable to accurately determine correction angles from the video streams
Solution Approach 1:
The patent replaces expert visual inspection with an automated computer vision system that uses image processing algorithms to detect body landmarks and calculate precise pose angles. This substitution maintains the ease of remote operation while dramatically improving measurement precision through automated, objective angle calculation.
Solution Approach 2:
The system introduces an intermediary computer vision processing layer between the video input and the correction feedback generation. This intermediary automatically extracts pose information and calculates angles, serving as a mediator that transforms raw video data into precise measurement data without requiring expert intervention.
3Productivity
If remote body correction is performed via video streams, then expert guidance can be delivered, but poor network connections result in fragmented streams that hinder accurate analysis
Solution Approach 1:
The patent replaces the video stream-based system with an image-based computer vision system. By processing individual images rather than continuous video streams, the system maintains high productivity for remote correction while eliminating reliability issues associated with fragmented video streams due to network problems.
Data Source
AI summary
Techniques are provided for body position correction. In one embodiment, the techniques involve receiving an image of a body, determining a body position based on the image, wherein the body position includes a movement, a pose, a posture, or a stance of the body, mapping markers to positions of the body, determining a body position angle, generating a correction angle of the body based on a comparison between the body position angle and a standard body position angle, and displaying a correction message.