Multi-Wearable Pulse Transit Authentication for User Verification
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Solution Overview
Problem
Existing biometric authentication methods using wearable devices struggle to provide secure and unique user verification due to the potential for forgery and synchronization issues, especially when using photoplethysmography waveforms from multiple devices.
Innovation Solution
The method determines a pulse time based on timestamps from photoplethysmography waveforms sensed by multiple wearable devices on different regions of the user, leveraging unique pulse transit or arrival times and inter-beat intervals to authenticate the user, using a synchronized timestamp system to ensure accuracy and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple wearable devices are used to sense photoplethysmography waveforms, then authentication security is improved through unique pulse transit time measurement, but device complexity and synchronization requirements increase
Solution Approach 1:
The system divides the authentication task across multiple wearable devices, each sensing pulse waveforms at different body locations. The pulse transit time is calculated as the time difference between arrivals at different locations, creating a unique physiological signature that is difficult to forge while distributing the measurement complexity across multiple simple wearable devices
Solution Approach 2:
A central processing system acts as an intermediary to receive timestamps from multiple wearable devices, perform the pulse transit time calculation, and execute authentication. This mediator handles the synchronization and computation complexity centrally, allowing the wearable devices to remain simple while achieving secure authentication
2Reliability
If pulse transit time is used for authentication, then uniqueness of user verification is improved, but measurement precision requirements increase due to physiological changes
Solution Approach 1:
The system adapts to physiological changes by continuously updating the reference pulse transit time values for each user. Instead of requiring perfect precision, the system establishes dynamic reference ranges that account for natural variations in pulse characteristics over time, maintaining authentication reliability despite physiological changes
Solution Approach 2:
The system changes the authentication parameter from absolute pulse time measurements to relative time differences (pulse transit time) between multiple locations. This transformation creates a more stable physiological signature that is less sensitive to absolute timing variations while maintaining uniqueness across users
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 provides a highly secure and unique authentication method that is difficult to forge, utilizing individual-specific vascular characteristics for reliable user verification, even in the presence of physiological changes over time.
Implementation Method 1
The first waveform may be a first photoplethysmography waveform and the second waveform may be a second photoplethysmography waveform
Data Source
AI summary
The disclosure relates to a method comprising: receiving a request to authenticate a user; determining a pulse time based on a timestamp associated with a feature within a first photoplethysmography waveform sensed by a first wearable device on a first region of the user and a timestamp associated with the feature within a second photoplethysmography waveform sensed by a second wearable device on a second region of the user; and authenticating the user based on the pulse time.


