Food Intake and Real-Feeling Analysis for Personalized Dietary Advice
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Solution Overview
Problem
Conventional systems struggle to accurately assess the medium-to-long-term impact of food intake on user feelings and behaviors, lacking methods to verify real feelings over specific periods and failing to account for individual variations in dietary habits and environmental conditions.
Innovation Solution
A program that acquires and processes user intake, feeling, biological, and behavior information to derive a real feeling score, using correlation analysis and machine learning to provide personalized dietary advice based on historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional clinical tests are used to verify health effects of foods, then verification can be done in a controlled environment, but the test conditions are unusual and do not reflect real user behavior
Solution Approach 1:
The patent creates a virtual clinical test environment that copies and simulates real user behavior patterns through data collection from actual users. Instead of forcing users into artificial test conditions, the system collects intake information, feeling information, biological information, and behavior information from users in their natural environment, then processes this data to verify health effects under realistic conditions.
2Quantity of substance
If food intake information is collected in a complicated manner mixing food details, behaviors, and other factors, then comprehensive data is obtained, but it becomes difficult to accurately grasp which factors affect real feelings
Solution Approach 1:
The patent segments the complicated intake information into distinct categories: intake information (food details), feeling information (user perceptions), biological information (physiological data), and behavior information (lifestyle factors). This segmentation allows the system to analyze each factor's individual effect on real feelings while maintaining the comprehensive nature of the overall data set.
Solution Approach 2:
The patent introduces an information processing unit that acts as an intermediary to process and analyze the segmented data. This intermediary component performs correlation analysis between intake information and real feeling scores, identifying which specific factors have the strongest impact on user feelings without requiring manual analysis of the complicated mixed data.
3Adaptability or versatility
If conventional systems provide general food information, then broad applicability is achieved, but personalized dietary recommendations for medium-to-long-term real feeling improvement are not provided
Solution Approach 1:
The patent transitions from providing uniform food information to providing personalized dietary recommendations tailored to each user's specific characteristics. By analyzing individual user data including intake patterns, feeling responses, biological metrics, and behavior factors, the system generates customized advice that addresses each user's unique needs for improving medium-to-long-term real feelings, rather than applying general recommendations to all users.
Data Source
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AI summary
Provided is a program or the like capable of providing appropriate advice to a user on the basis of intake information regarding a food that the user has taken an one or more pieces of information from among feeling information, biological information, and behavior information of the user and/or real feeling score information derived from such information. A computer acquires the intake information and the real feeling score information and outputs, to an information processing unit, the acquired intake information, the one or more pieces of information from among the feeling information, the biological information, and the behavior information, and/or the real feeling score information derived from such information, and identification information of the user. Then, the computer acquires, from the information processing unit, advice information including information regarding a correlation between the output intake information and real feeling score information and displays the acquired advice information on a display unit.