Iris Scan Profiling for Head-Mounted Display Alignment
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Solution Overview
Problem
Current head-mounted displays for augmented reality lack personalized user experiences due to inadequate alignment and adjustment of virtual objects within the real-world environment, leading to suboptimal integration of virtual and real-world elements.
Innovation Solution
A see-through head-mounted display system that performs an iris scan to identify the user and retrieve their profile, allowing for automatic adjustment of display elements based on user preferences and inter-pupillary distance, optimizing the alignment and positioning of virtual objects within the user's field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If head-mounted displays use generic display settings for all users, then device complexity is reduced, but display alignment precision and user experience quality deteriorate
Solution Approach 1:
The system performs iris scan profiling and user identification before displaying augmented reality content, pre-determining optimal display parameters for each user. This preliminary action enables personalized display alignment and positioning without requiring complex real-time adjustments during operation.
Solution Approach 2:
The system dynamically adjusts display parameters including inter-pupillary distance, optical alignment, and virtual object positioning based on individually measured user characteristics. These parameter changes optimize display precision for each user while maintaining a standardized device design.
2Adaptability or versatility
If head-mounted displays perform iris scan profiling and automatic adjustments, then user experience personalization is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system automatically performs iris scanning, user identification, and display parameter optimization without requiring manual user input or configuration. The device self-adjusts based on detected user characteristics, reducing the need for complex user interfaces and manual setup procedures.
Solution Approach 2:
The system uses iris scan data and user identification results to provide feedback that drives automatic adjustment of display parameters. This closed-loop feedback mechanism enables personalized user experiences through systematic processing of biometric data and corresponding optimization of display settings.
3Manufacturing precision
If head-mounted displays manually align display elements for each user, then alignment precision is improved, but setup time and user convenience deteriorate
Solution Approach 1:
The system replaces manual mechanical alignment procedures with automated optical sensing and computational processing. Iris scan profiling and image processing algorithms automatically determine optimal display alignment, eliminating the need for time-consuming manual adjustment mechanisms.
Solution Approach 2:
The system performs alignment calculations and optimizations in advance based on iris scan data, preparing display parameters before the user begins using the device. This preliminary alignment process occurs during initial setup or user transition, minimizing disruption to the user experience.
Data Source
AI summary
A see-through head mounted-display and method for operating the display to optimize performance of the display by referencing a user profile automatically. The identity of the user is determined by performing an iris scan and recognition of a user enabling user profile information to be retrieved and used to enhance the user's experience with the see through head mounted display. The user profile may contain user preferences regarding services providing augmented reality images to the see-through head-mounted display, as well as display adjustment information optimizing the position of display elements in the see-though head-mounted display.