Personal Authentication Using Stable Body Composition Metrics
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Solution Overview
Problem
Existing personal recognition methods in body weight/body composition meters are prone to low accuracy due to temporal variations in body weight and electrical impedance values, which are influenced by daily and weekly changes in water content.
Innovation Solution
A personal authentication apparatus that calculates and compares body composition values such as body fat mass or muscle mass, which are less susceptible to temporal variation, using acquired body weight and impedance data along with personal information to accurately identify the measurement subject.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If body weight and body electrical impedance values are used for personal recognition, then the recognition process is simple, but the accuracy of personal recognition is low due to temporal variation in water content
Solution Approach 1:
The patent changes the parameter used for personal recognition from body weight and electrical impedance (which vary with water content) to body composition parameters such as body fat mass and muscle mass (which are stable over time). This parameter transformation resolves the contradiction by maintaining simple recognition procedures while achieving high accuracy through physiologically stable metrics.
2Ease of operation
If body composition values susceptible to temporal variation are used for personal recognition, then the recognition process is straightforward, but the reliability of personal identification deteriorates
Solution Approach 1:
The invention transforms the recognition parameters from transient values (body weight, impedance) to stable values (body fat mass, muscle mass). This allows the system to maintain ease of operation while significantly improving reliability, as body composition parameters remain consistent across different measurement times and conditions.
3Loss of information
If personal specification number designation and storage are performed during body composition calculation, then the system can track personal information, but the measurement subject must remember and designate the personal specification number
Solution Approach 1:
The patent implements self-service personal recognition by automatically identifying the measurement subject through biometric comparison without requiring manual input of personal specification numbers. The system performs self-identification by comparing current body composition data with stored reference data, eliminating the need for users to remember or input identification codes.
Solution Approach 2:
The invention replaces the mechanical interaction of manual number input and selection with an automated biometric recognition system. By substituting the manual designation process with automatic comparison of body composition parameters, the system maintains personal information tracking while dramatically improving user convenience.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances personal recognition accuracy by minimizing the impact of temporal variations, allowing for more reliable identification of the measurement subject and preventing incorrect storage of data.
Implementation Method 1
a body impedance measurement unit configured to measure body impedance of the measurement subject
Implementation Method 2
a body weight measurement unit configured to measure body weight of the measurement subject
Data Source
AI summary
A personal authentication apparatus includes: an acquisition unit that acquires a measurement result including body weight and body impedance; a calculation unit configured to, based on the measurement result acquired by the acquisition unit and personal information, calculate a calculation value relating to body composition that is less susceptible to temporal variation than body water amount; a storage unit configured to store the body weight, the personal information, and the calculation value in association with measurement subject specification information that specifies the measurement subject; a comparison unit configured to compare the most recent calculation value and a new calculation value; and a measurement subject specification unit configured to, based on a difference between calculation values, specify which of the pieces of measurement subject specification information stored in the storage unit corresponds to the measurement result acquired by the acquisition unit.