Personalized Biometric Activity Estimation via Coefficient Correction
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Solution Overview
Problem
Existing methods for estimating physical activity states using biometric data from wearable sensors struggle with accuracy due to individual differences among users, as they apply the same coefficient to all users without considering user-specific variations.
Innovation Solution
A state estimation device and method that generates an estimation formula accounting for user-specific differences by acquiring biometric data and activity state information from multiple users, then corrects coefficients based on the target user's data to provide personalized estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same coefficient is applied to all users to obtain the index value, then the device complexity is reduced and ease of operation is improved, but the measurement precision deteriorates due to individual differences between users
Solution Approach 1:
The patent applies local quality by transitioning from a uniform coefficient applied to all users to user-specific coefficients tailored to individual characteristics. The system generates separate estimation formulas for different users based on their biometric data patterns, ensuring that each user receives personalized accuracy while maintaining system-wide operational simplicity through automated coefficient assignment.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the coefficient values in the estimation formula based on individual user biometric data. Instead of using a fixed universal coefficient, the system modifies the coefficient parameter for each user according to their specific physiological characteristics, thereby improving measurement precision without requiring users to manually configure the system.
2Measurement precision
If expensive dedicated apparatus is used to measure index values directly, then the measurement precision is improved, but the ease of operation deteriorates as general users cannot access such equipment
Solution Approach 1:
The patent applies copying by creating a simplified computational model that replicates the functionality of expensive dedicated measurement apparatus. Instead of requiring users to access physical specialized equipment, the system uses wearable sensor data combined with user-specific estimation formulas to generate accurate index values, making professional-grade measurement capabilities accessible through ordinary wearable devices.
Solution Approach 2:
The patent replaces the mechanical/physical measurement system (expensive dedicated apparatus) with an information-processing system. The solution substitutes direct physical measurement with computational estimation using biometric data and personalized formulas, thereby eliminating the need for specialized hardware while maintaining measurement accuracy and improving accessibility for general users.
Data Source
AI summary
In an embodiment of this invention, in a learning phase, a state estimation device acquires activity state data and biometric data at that time from user terminals of a plurality of users, generates a regression formula representing the relationship between the biometric data and the activity state data using a regression analysis method on the basis of these pieces of measurement data, and calculates a difference between the coefficients of the regression formula of all users and each user to generate a coefficient correction regression formula representing a relationship between the difference of the coefficient and an average value of the biometric data. In an estimation phase, the state estimation device acquires biometric data of a new user, corrects a coefficient value of an activity state estimation regression formula to a coefficient value for the new user on the basis of the average value of the biometric data and the coefficient correction regression formula, and estimates the activity state of the new user using the regression formula having the corrected coefficient.