Body Size Measurement Correction Using Mobile Sensors
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Solution Overview
Problem
Current methods for measuring body size are inaccurate due to inconsistent sizing standards across brands and the difficulty in measuring irregular body parts, especially when clothing distorts measurements.
Innovation Solution
A computer-implemented method that uses images and sensors to determine initial body measurements, applies correction factors based on supplemental measurements, and provides feedback for accurate sizing recommendations, accounting for clothing type and style.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement methods are used on clothed body parts, then the measurement process is simple, but the measurement precision deteriorates due to clothing distortion
Solution Approach 1:
The measurement process is divided into multiple stages: initial automated measurement from images, identification of clothing artifacts, supplemental measurements at specific locations, and correction factor application. This segmentation allows the system to address clothing distortion systematically without requiring complete redesign of the measurement process.
Solution Approach 2:
Correction factors serve as an intermediary element between the initial image-based measurements and the final accurate measurements. These correction factors, derived from supplemental measurements, mediate the effect of clothing distortion by providing adjustment values that compensate for the distortion without requiring direct measurement of the undistorted body.
2Measurement precision
If supplemental measurements are taken to correct for clothing distortion, then the measurement precision improves, but the ease of operation deteriorates
Solution Approach 1:
The system performs preliminary automated measurements from images before requiring user action. This preliminary action captures baseline data and identifies specific areas needing supplemental measurement, reducing the overall burden on the user by pre-processing the measurement task.
Solution Approach 2:
The system provides feedback to guide users on where to take supplemental measurements based on detected clothing artifacts. This feedback mechanism directs user attention to specific critical locations, making the supplemental measurement process more intuitive and less burdensome by eliminating guesswork about where measurements are needed.
3Productivity
If automated image processing is used to determine body measurements, then the productivity improves, but the measurement precision deteriorates due to clothing and lighting artifacts
Solution Approach 1:
The processing pipeline is segmented into automated image-based measurement and supplemental correction measurement. This allows the high-productivity automated imaging to handle the bulk of measurements while the lower-productivity supplemental measurements address only the specific areas affected by clothing and lighting artifacts.
Solution Approach 2:
The system replaces direct physical measurement mechanics with optical/image-based measurement for the initial assessment. This substitution enables rapid automated processing while the supplemental physical measurements are used only where needed to correct for artifacts, combining the speed of optical methods with the accuracy of physical measurement.
Data Source
AI summary
A computer-implemented method and system may include receiving one or more images of a body; determining one or more initial body measurements of the body based on the one or more images; determining at least one supplemental measurement of a portion of the body, the supplemental measurement determined at least in part using one or more sensors of a mobile device; and applying a correction factor to the one or more initial body measurements of the body based at least in part on the supplemental measurement to produce a corrected body measurement.