Biometric Authentication Data Overlap for Digital Twin Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a challenge in regularly updating digital twins with accurate and timely physiological parameter data, as patients often forget to acquire or acquire incomplete sensor measurements, leading to outdated input for their personalized digital models.
Innovation Solution
A computer-implemented method configures the settings of a computing device's biometric authentication function to overlap with the data requirements of a digital twin, using biometric authentication protocols to collect sensor data that also meets the medical input data needs, ensuring consistent and efficient data acquisition for updating the digital twin.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate medical data acquisition is performed regularly, then the digital twin can be updated with accurate physiological parameter data, but patients often forget to acquire or acquire incomplete sensor measurements, leading to outdated input
Solution Approach 1:
The patent combines biometric authentication data collection with medical data acquisition for digital twin updates. The same sensor measurements (heart rate, temperature, etc.) are collected for both authentication purposes and medical monitoring purposes, eliminating the need for separate data acquisition processes and improving patient compliance while maintaining data accuracy.
Solution Approach 2:
The system makes the computing device's sensor capabilities multi-functional by using them for both biometric authentication and medical data collection. This universal use of existing sensors ensures consistent data acquisition without requiring additional patient actions, thereby improving both reliability and ease of operation.
2Productivity
If biometric authentication protocols are configured to overlap with digital twin data requirements, then data acquisition efficiency is improved, but the authentication protocol settings must be precisely matched to medical input requirements
Solution Approach 1:
The system adjusts biometric authentication protocol parameters (sampling frequency, sensor selection, measurement duration) to match the temporal and quantitative requirements of digital twin updates. By dynamically changing these parameters based on medical data needs, the system achieves efficient data acquisition while maintaining proper configuration through automated parameter adjustment rather than manual complexity.
3Reliability
If patients acquire sensor measurements at times when they are not needed or too infrequently, then the digital twin input becomes incomplete or outdated, but frequent acquisition consumes additional resources
Solution Approach 1:
The system implements periodic biometric authentication events that coincide with digital twin update requirements. By scheduling authentication (and thus data collection) at regular intervals that match medical monitoring needs, the system ensures timely updates without excessive resource consumption. The periodic nature aligns data acquisition with both security requirements and medical monitoring requirements.
Data Source
AI summary
A provided method is for configuring settings of a computing device for providing more efficient and reliable acquisition of data for use in updating a personalized digital model (digital twin) of a subject. The method comprises configuring settings of a biometric authentication function of a computing device so as to provide for overlap in the input data requirements of the biometric authentication function and the input data requirements of the digital twin. There may be different authentication protocols available at the computing device, each requiring different input sensing data. Based on knowledge of these different authentication protocols and data requirements, and based on knowledge of data input needs of a digital twin, an authentication protocol can be selected and/or its settings adjusted, so that when performing biometric authentication, the same acquired sensor data can also be used for deriving physiological parameter data of the subject, for updating the digital twin.