Smartphone 2D Image to Personalized 3D Body Model

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current three-dimensional modeling of the human body requires expensive sensors and does not effectively consider individual body characteristics in fitness applications, leading to inefficient exercise programs.

Innovation Solution

A system that uses two-dimensional body images from devices like smartphones to generate personalized three-dimensional body models, allowing users to set goals and track progress through a body change journey, incorporating machine learning to predict body measurements and provide tailored exercise and nutrition plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If three-dimensional sensors (stereoscopic imaging elements, three-dimensional scanners, depth sensing devices) are used for body modeling, then measurement precision and three-dimensional body model accuracy are improved, but device cost and complexity increase significantly

Engineering Contradiction:
Improvethree-dimensional body model accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses two-dimensional images as a simplified copy or representation of the three-dimensional body, processing these 2D images through machine learning models to generate personalized 3D body models. This approach replaces complex 3D sensors with simpler 2D imaging while achieving comparable or superior model accuracy through intelligent algorithms

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces mechanical/optical 3D sensing systems with a computational approach using 2D image processing and machine learning. Instead of using physical three-dimensional scanners or stereoscopic devices, the system uses standard 2D cameras combined with AI-based reconstruction algorithms to achieve 3D body modeling

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If traditional body measurement methods (manual measurement, coordination with health experts) are used, then device cost is reduced, but ease of operation and user convenience deteriorate

Engineering Contradiction:
Improvesystem costVSAvoiduser convenience
Core Design Contradiction:
Device complexityVSEase of operation

Solution Approach 1:

The patent enables users to independently perform body composition analysis by simply taking photos with their smartphones. The system automatically processes the images, generates 3D body models, and provides personalized insights without requiring manual measurements or coordination with health experts, making the process entirely self-service oriented

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent transforms the body measurement process from manual physical measurements to automated image-based analysis. By changing the input parameter from manual data entry to 2D images, the system automatically extracts body composition parameters through machine learning, significantly improving user convenience while maintaining accuracy

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If exercise programs do not consider individual body characteristics, then program simplicity is maintained, but effectiveness and adaptability deteriorate

Engineering Contradiction:
Improveprogram simplicityVSAvoidprogram effectiveness
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent generates personalized exercise and nutrition recommendations tailored to each user's specific body characteristics, such as body fat distribution, muscle mass, and body shape. Instead of using generic exercise programs, the system creates localized recommendations adapted to individual anatomical features, significantly improving program effectiveness

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent creates dynamic, adaptive exercise and nutrition programs that automatically adjust based on user progress, body composition changes, and individual characteristics. The system continuously updates recommendations as users progress through their fitness journey, making the program flexible and highly effective rather than static and generic

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12141924B1Cohort based body change journeys
Publication Date: 2024.11.12 AMAZON TECH INC
  • US12141924B1 patent drawing
  • US12141924B1 patent drawing
  • US12141924B1 patent drawing

AI summary

Described are systems and methods directed to a body change journey that utilizes one or more current body measurement values, one or more goal body measurement values, and a cohort to determine a body change journey that a user can follow to progress from the current body measurement value to the goal body measurement value. The cohort may include a plurality of data of other bodies who have progressed from a starting body measurement value that is similar to the current body measurement value.