Oxygen Saturation Pattern Recognition for Shared Health Monitors
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Solution Overview
Problem
Existing health monitoring devices face challenges in accurately matching health data to the correct user, posing risks of cross-contamination and requiring inconvenient authentication methods like iris sensors or fingerprint sensors.
Innovation Solution
A user recognition apparatus using a first sensor to measure health information and a second sensor to measure pulse wave signals, calculating oxygen saturation patterns to identify users, and updating health information based on these patterns, with a processor managing user data and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional authentication methods (iris sensor, fingerprint sensor) are used to authenticate users, then user identification accuracy is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The pulse wave sensor serves dual purposes: it measures health data (original function) and simultaneously captures biometric information for user authentication (new function). By using the same sensor for both health monitoring and identification, the patent eliminates the need for separate authentication sensors, thereby reducing device complexity while maintaining accurate user identification
Solution Approach 2:
The system uses the user's own physiological signals (pulse wave) that are already being measured for health monitoring to perform self-authentication. The pulse wave characteristics naturally contain unique biometric information that can identify the user without requiring additional sensors or manual authentication actions
2Measurement precision
If additional authentication sensors are mounted to improve user recognition accuracy, then measurement precision is improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent makes the existing pulse wave sensor perform dual functions by extracting both health metrics and biometric authentication data from the same sensor signals. This eliminates the need for additional authentication sensors during manufacturing, simplifying the production process while maintaining accurate user recognition
Solution Approach 2:
The system extracts authentication-relevant information (oxygen saturation patterns) from the pulse wave signals already being captured for health monitoring. By separating and utilizing only the necessary biometric features from the existing sensor data, the patent avoids adding hardware complexity while achieving accurate user identification
3Ease of operation
If health data is measured without user authentication, then ease of operation is improved, but data reliability deteriorates due to cross-contamination risk
Solution Approach 1:
The system performs automatic self-authentication by continuously monitoring the user's pulse wave characteristics and comparing them against stored biometric profiles. This automatic verification occurs without requiring manual user action, maintaining ease of operation while ensuring that health data is reliably attributed to the correct user and preventing cross-contamination
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
Enables accurate user identification without additional sensors, preventing health data cross-contamination and simplifying authentication, while ensuring proper medical information management.
Implementation Method 1
a light source configured to emit light of multiple wavelengths to skin of the user, and a detector configured to detect the light reflected or scattered from the user
Implementation Method 2
a second sensor configured to measure a pulse wave signal from the user
Data Source
AI summary
An apparatus for performing user recognition may include: a first sensor configured to measure health information from a user; a second sensor configured to measure a pulse wave signal from the user; and a processor configured to obtain oxygen saturation based on the pulse wave signal, to recognize the user based on an oxygen saturation pattern of the obtained oxygen saturation, and to update the measured health information as health information of the recognized user.