Display User Identification Using Physiological Time Series
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Solution Overview
Problem
Existing display units, such as interactive mirrors, face challenges in reliably identifying users to ensure privacy, particularly in multi-user settings where personal health data is shared, as current methods often rely on single measurements which are not accurate enough to prevent incorrect data dissemination.
Innovation Solution
An apparatus and method that utilize a processor to compare received physiological measurements with time series data of multiple users, determining identity by matching or fitting within a predicted range based on historical measurements, thereby enhancing accuracy and reducing the likelihood of incorrect data presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single physiological measurement is used to identify a user, then the identification process is fast and simple, but the accuracy of user identification is insufficient leading to privacy risks
Solution Approach 1:
The system pre-calculates and stores predicted physiological measurement ranges for multiple users before actual identification occurs. When a user approaches, the system compares their measurement against these pre-established ranges, enabling rapid and accurate identification without complex real-time analysis
Solution Approach 2:
The patent transitions from single-point physiological measurements to multi-dimensional time series analysis. By analyzing physiological measurements across multiple time points and comparing them against historical patterns, the system achieves more accurate user identification while maintaining operational simplicity
2Ease of operation
If manual login is required for user identification, then data privacy is protected, but user convenience and experience are reduced
Solution Approach 1:
The system performs automatic user identification by analyzing physiological measurements without requiring manual login actions. The identification process happens seamlessly in the background, and the system automatically restricts data access based on identified user identity, eliminating the need for manual authentication while maintaining privacy security
3Measurement precision
If physiological measurements are analyzed over time series, then user identification accuracy improves, but data processing requirements and system complexity increase
Solution Approach 1:
The system pre-calculates predicted physiological measurement ranges and stores them for multiple users before actual identification occurs. This preliminary preparation enables rapid comparison and accurate identification without requiring complex real-time computational analysis
Solution Approach 2:
The system continuously updates and refines predicted physiological ranges based on historical measurement data. By incorporating feedback from past measurements, the system improves identification accuracy over time while maintaining a manageable data processing framework
Data Source
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AI summary
The invention discloses and apparatus for identifying a user of a display unit. The apparatus (100) comprises a processor (102) configured to receive a physiological measurement for a first user; compare the received physiological measurement with a plurality of time series of physiological measurements, each time series corresponding to one of a plurality of users; and determine, based on the comparison, an identity of the first user. A method and a computer program product are also disclosed.