Wearable Heads-Up Display Iris Authentication via Infrared Scanning
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Solution Overview
Problem
Existing wearable heads-up displays lack secure user authentication methods that ensure privacy and security, particularly in environments where traditional authentication methods may be compromised.
Innovation Solution
A method for wearable heads-up displays that uses infrared light to scan and analyze the unique iris patterns of a user, generating biometric identification data for authentication, which includes generating infrared light, scanning over the user's eyes, detecting reflections, extracting and comparing biometric data, and determining a similarity measure to authenticate the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is implemented using traditional methods, then authentication security is improved, but device complexity increases due to requirement for external capture devices and manual sample collection
Solution Approach 1:
The wearable HUD performs biometric authentication automatically without requiring external capture devices or manual sample collection. The system uses its own integrated optical components to capture iris patterns and compare them against stored templates, enabling self-service authentication that eliminates the need for separate authentication stations or manual intervention
Solution Approach 2:
The optical components of the wearable HUD are designed to serve multiple functions: display content to the user and simultaneously capture biometric data for authentication. The same optical path and sensors used for displaying information are also utilized for iris pattern capture, eliminating the need for separate dedicated capture hardware
2Measurement precision
If infrared scanning of iris patterns is performed, then authentication accuracy is improved, but energy consumption increases
Solution Approach 1:
The infrared scanning is performed periodically rather than continuously. The system activates the infrared light source and optical sensors only when authentication is required, such as when the user approaches the wearable HUD or attempts to access protected content, thereby reducing overall energy consumption while maintaining high authentication accuracy when needed
3Loss of information
If multiple scan orientations are used to capture iris data, then biometric identification completeness is improved, but authentication time increases
Solution Approach 1:
The system performs preliminary processing of the captured iris images by immediately extracting and comparing biometric features against stored templates during or right after the scanning process. This preliminary action eliminates the need for separate offline processing steps and reduces overall authentication time while ensuring complete biometric data capture through multiple scan orientations
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 method provides a secure and private authentication process that ensures only authorized users can access protected resources on the wearable heads-up display and secondary interactive systems, eliminating the need for external biometric sample capture.
Implementation Method 1
generating an infrared light; scanning the infrared light over at least a portion of at least one eye of the subject user
Implementation Method 2
detecting reflections of infrared light from the eye of the subject user during the scanning of the at least one eye
Data Source
AI summary
A method of operating a wearable heads-up display that in use is worn on a head of a user includes generating an infrared light, scanning the infrared light over an eye of the user, detecting reflections of infrared light from the eye of the user, and extracting test biometric identification data from at least a portion of the detected reflections and corresponding scan orientations. A similarity measure between the test biometric identification data and reference biometric identification data associated with the wearable heads-up display is determined. The user is authenticated based on the similarity measure.