Blood Perfusion Biomarker Sensing for Persistent User Authentication
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Solution Overview
Problem
Existing systems struggle to verify the identity of a user during long-term or persistent monitoring using biosensors, as they cannot independently determine who is using the device, leading to potential misuse or false information submission.
Innovation Solution
A system and method for user identification using blood perfusion data, where unique features of blood perfusion patterns are extracted and compared to template features to authenticate the user, leveraging a system-on-a-chip (SOC) and biomarker sensors like photoacoustic plethysmography (PAPG) to generate and match these features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If biosensors are used for long-term monitoring, then health insights and medication effectiveness can be measured, but user identity verification becomes difficult leading to potential misuse
Solution Approach 1:
The system uses the user's own physiological characteristics (blood perfusion patterns) to automatically verify their identity. The biosensor captures blood perfusion signals that are inherently tied to the user's physiology, enabling self-verification without external intervention or manual identity confirmation
Solution Approach 2:
The system detects changes in blood perfusion characteristics that serve as unique identifiers. By analyzing the optical properties and temporal patterns of blood flow through tissue, the system creates a physiological fingerprint that identifies the user based on their unique circulatory characteristics
2Measurement precision
If blood perfusion patterns are used for authentication, then user identification accuracy is improved, but system complexity increases
Solution Approach 1:
The biosensor system performs multiple functions: it monitors health parameters (blood pressure, heart rate) and simultaneously captures blood perfusion patterns for authentication. This multi-functionality allows the same hardware infrastructure to support both health monitoring and user verification without requiring separate dedicated authentication devices
Solution Approach 2:
The system uses blood perfusion patterns as an intermediary between the user and the authentication system. Rather than directly verifying identity through complex biometric scanning or manual verification, the system measures physiological blood flow characteristics that naturally occur during normal sensor operation, using these patterns as a mediator to establish user identity
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 allows for reliable user authentication by uniquely identifying individuals based on their blood perfusion patterns, enhancing security and preventing unauthorized access in wearable and portable devices.
Implementation Method 1
leveraging a system-on-a-chip (SOC) and biomarker sensors like photoacoustic plethysmography (PAPG) to generate and match these features
Data Source
AI summary
Systems and techniques are described herein for user identification. For instance, a technique can include receiving at least one biosignal from a sensor, the at least one biosignal indicative of a blood perfusion of a user. The technique can further include extracting at least one feature from the at least one biosignal, comparing the extracted at least one feature to at least one template feature associated with an enrolled user, determining, based on comparing the extracted at least one feature to the at least one template feature, whether the user matches the enrolled user, and outputting an indication of whether the user matches the enrolled user.