Fitness System Using Body-Assessment Classifier for Quantitative Biometric Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users lack a quantitative method to assess body composition changes without specialized equipment, relying on qualitative image analysis which cannot provide accurate physique and biometric assessments.
Innovation Solution
A method using a body-assessment classifier trained on image data sets to generate quantitative physique and biometric assessments, allowing for the display of visual representations based on these assessments, including predicted changes from fitness programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users take before and after images to assess fitness program effects, then they can visually track changes, but they cannot obtain quantitative physique and biometric assessments
Solution Approach 1:
The patent replaces specialized medical equipment (mechanical systems like body fat calipers and weight scales) with an image processing system that uses machine learning algorithms to automatically extract quantitative body composition data from images. The body-assessment classifier processes images to generate quantitative assessments of physique and biometric parameters without requiring physical contact with specialized devices.
Solution Approach 2:
The patent creates a digital copy of the physical body through image capture and processing. Instead of requiring users to physically interact with measurement equipment, the system captures visual information and generates quantitative assessments by analyzing the image data, effectively creating a virtual representation of body composition metrics.
2Measurement precision
If specialized medical equipment is used for body composition assessment, then quantitative physique and biometric assessments can be obtained, but the system becomes complex and requires specialized equipment
Solution Approach 1:
The patent enables users to perform their own body composition assessments using standard imaging devices they already possess, such as smartphone cameras. The system allows users to capture images and automatically generate quantitative assessments without requiring professional equipment or expert operation, making the service accessible to general users.
Solution Approach 2:
The patent transforms a specialized measurement function into a universal application that can be performed with common imaging devices. The body-assessment classifier is designed to work with standard image formats from various sources, making the system universally applicable across different devices and user contexts rather than requiring proprietary equipment.
3Measurement precision
If a body-assessment classifier is trained on extensive image data, then assessment accuracy improves, but training time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-training the body-assessment classifier on extensive image data corpora before deployment. The training process is conducted in advance using diverse image datasets with associated body composition measurements, so that when the system is deployed, the classifier is already optimized for accurate assessments without requiring users to wait for training during actual use.
Solution Approach 2:
The patent applies partial action by using a sufficiently large training dataset that achieves acceptable accuracy thresholds without requiring exhaustive training on every possible image variation. The system uses a curated corpus of images with known body composition data to train the classifier to the point of diminishing returns, balancing accuracy with training efficiency.
Data Source
AI summary
A method includes obtaining one or more images associated with a user. The method further includes generating, using a body-assessment classifier, one or more body-assessment vectors. Each of the one or more body-assessment vectors is a function of a particular one of the one or more images. The one or more body-assessment vectors include quantitative physique and biometric assessments associated with the user. The method further includes displaying, on the display, a body-assessment indicator that is based on the one or more body-assessment vectors.