Body Composition Analysis Using AI Natural Language Processing
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Solution Overview
Problem
Modern individuals face challenges in understanding and interpreting their body composition measurements due to the complexity of medical data, particularly in non-professional settings, and there is a need for a system that can provide easy and precise analysis of body composition data.
Innovation Solution
A user clustering and analysis method using body composition big data, which employs artificial intelligence natural language processing deep learning to explain test results in detail, similar to a health trainer, through a system comprising a body composition analyzer, user terminal, and service provider server, allowing users to receive detailed explanations of their body composition data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If body composition measurement data is provided to users, then users can obtain health information, but users cannot easily understand and interpret the measurement results
Solution Approach 1:
The patent introduces an AI natural language processing system as an intermediary between the body composition analyzer and the user. This intermediary translates complex medical measurement data into easily understandable explanations, similar to how a health trainer would interpret the results. The AI system processes the raw body composition data and generates natural language descriptions that users can comprehend without medical expertise.
Solution Approach 2:
The patent replaces the traditional mechanical approach of expert interpretation (requiring medical professionals or trainers to manually analyze and explain results) with an automated AI-based natural language processing system. This substitution allows the system to provide detailed explanations automatically without requiring human intervention, making the interpretation process both easier and more accessible to users.
2Measurement precision
If detailed body composition analysis is provided, then analysis precision is improved, but user engagement and accessibility decrease due to complexity
Solution Approach 1:
The AI natural language processing system serves as a mediator that preserves the precision of detailed body composition analysis while making the results accessible to users. It maintains the comprehensive analytical capabilities but translates the complex findings into user-friendly explanations, allowing users to benefit from precise analysis without being overwhelmed by technical complexity.
3Measurement precision
If professional interpretation of body composition data is provided, then analysis accuracy is improved, but service accessibility to non-professionals deteriorates
Solution Approach 1:
The patent substitutes the need for professional human interpreters with an AI-based natural language processing system. This replacement maintains high accuracy in interpreting body composition data while eliminating the barrier of requiring professional expertise. Users can now access accurate interpretations directly through the automated system without needing to consult professionals.
Solution Approach 2:
The system enables users to obtain accurate body composition interpretations through self-service. The AI natural language processing system allows users to independently understand their own test results without requiring external professional assistance, making the service both accurate and accessible to all users regardless of their professional knowledge.
Data Source
AI summary
A user clustering and analysis method using body composition big data and a system includes analyzing, by a body composition analyzer, a user's body composition, and transmitting analyzed body composition data of the user to a user terminal, receiving, by the user terminal, the user's body composition data, and transmitting the body composition data to a service provider server providing services related to body composition analysis or executing a body composition data analysis application thereof, and analyzing, by the service provider server or the body composition data analysis application of the user terminal, the user's body composition data accumulated for a predetermined period of time, assigning a cluster that is a group of similar body composition, and providing the cluster to the user terminal or displaying the cluster on a display screen.