Guided Recommendation Display via Biological Fingerprint Classification
Solution Overview
Problem
Existing graphical user interfaces face challenges in accurately and cleanly arranging and displaying the vast amount of physiological data, making it difficult to provide effective guided recommendations to users based on their biological and activity data.
Innovation Solution
A system and method that classify biological extraction data and user activity data into a user fingerprint, selecting compatible elements as guided recommendations using a compatibility index, and displaying them through a graphical user interface, thereby filtering and ranking recommendations based on user patterns and wearable device data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physiological data is displayed in a graphical user interface, then user information is provided, but the data volume becomes cumbersome and difficult to arrange cleanly
Solution Approach 1:
The patent segments the cumbersome physiological data into distinct categories (biological extraction data, activity data, preference data) and processes each segment separately through classification into user fingerprints. This segmentation allows the system to manage and display data systematically without overwhelming the interface.
Solution Approach 2:
The patent extracts essential features from large volumes of physiological data by classifying them into user fingerprints and compatibility indices. This extraction process isolates the most relevant information for display, removing unnecessary data complexity while preserving key physiological insights.
2Adaptability or versatility
If guided recommendations are provided based on physiological data, then user personalization is improved, but data classification and processing complexity increases
Solution Approach 1:
The patent performs preliminary classification of physiological data into user fingerprints before generating recommendations. By pre-organizing data into structured fingerprints that capture user characteristics, the system enables rapid personalization of recommendations without complex real-time processing during the recommendation generation phase.
Solution Approach 2:
The patent introduces user fingerprints as an intermediary structure between raw physiological data and guided recommendations. This intermediary layer simplifies the relationship between complex input data and output recommendations, making the system more adaptable while managing complexity through standardized fingerprint representations.
3Measurement precision
If compatibility indexing is used to rank recommendations, then recommendation accuracy is improved, but computational processing time increases
Solution Approach 1:
The patent transforms physiological data into standardized parameters represented by user fingerprints and compatibility indices. By changing the parameter representation from raw data to structured fingerprint profiles, the system achieves accurate recommendation ranking while reducing computational complexity and processing time through efficient parameter comparison.
Data Source
AI summary
A system for arranging and displaying guided recommendations using a graphical user interface based on biological extraction, the system comprising a computing device configured to receive, from a wearable device located at a user, at least a biological extraction and at least a datum of user activity data, classify the biological extraction and the at least a datum of user activity as a function of at least a datum of a user fingerprint, select at least a compatible element as a function of the training data and the user fingerprint, wherein the compatible element comprises a guided recommendation, and generate a representation using a graphical user interface of the compatible element.