Head-Mounted Device Optical Assembly Positioning
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Solution Overview
Problem
Electronic head-mounted devices face challenges in customizing display and lens positioning for different users due to varying interpupillary distances, leading to potential compromised display performance and reduced field of view if the optical assemblies are too close to the user's face.
Innovation Solution
A head-mounted device employs user-specific models generated from three-dimensional face scans or inferred geometry to assess and adjust the positioning of optical assemblies based on interpupillary distance, eye relief distance, vertical pupil position, and device tilt, ensuring an optimal distance is maintained to prevent performance issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If optical assemblies are positioned closer to the user's face to reduce device size, then device compactness is improved, but display performance and field of view are compromised
Solution Approach 1:
The patent implements dynamic adjustment of optical assembly positioning based on real-time detection of user facial geometry and interpupillary distance. The system continuously monitors parameters such as nose bridge width, eye level, and pupil position to automatically optimize the distance between optical assemblies and the user's face, ensuring optimal display performance while maintaining compact device dimensions.
Solution Approach 2:
The system changes critical positioning parameters including interpupillary distance, eye relief distance, vertical pupil position, and device tilt to optimize optical assembly placement. By adjusting these parameters based on user-specific facial measurements, the system maintains optimal display performance across different users and facial geometries without increasing device volume.
2Area of stationary object
If optical assemblies are positioned closer to the user's face to improve field of view, then display coverage is improved, but optical interference with facial features occurs
Solution Approach 1:
The patent employs feedback mechanisms where sensors continuously monitor the distance between optical assemblies and the user's face, detecting parameters such as nose bridge width and eye level. This real-time feedback information is used to dynamically adjust optical assembly positioning, ensuring optimal field of view while preventing optical interference with facial features through continuous optimization based on detected facial geometry.
3Device complexity
If fixed optical assembly positioning is used to simplify device structure, then device complexity is reduced, but adaptability to different users is compromised
Solution Approach 1:
The system performs preliminary detection and measurement of user facial geometry, interpupillary distance, and eye level before finalizing optical assembly positioning. By conducting these measurements in advance and storing user-specific parameters, the system enables rapid optimization of optical assembly placement for each user without requiring complex real-time adjustment mechanisms during actual use.
Solution Approach 2:
The patent creates digital copies or models of user facial geometry and optical characteristics to determine optimal positioning parameters. By storing and referencing these digital representations of user-specific anatomical data, the system can quickly calculate and apply optimal optical assembly positions for each user without physically measuring or adjusting for every individual case during operation.
Data Source
AI summary
A head-mounted device may include optical assemblies for presenting images to a user. The optical assemblies may be movable relative to one another. The head-mounted device may store a user-specific model for determining a distance between the optical assemblies and the user's face during operation of the head-mounted device. The user-specific model may predict when the distance between the optical assemblies and the user's face is too small based on measured input variables such as interpupillary distance, eye relief distance, vertical pupil position, and/or device tilt. The user-specific model may be generated based on a measured or inferred geometry of the user's nose and/or face. The user-specific model may be based on a face scan captured by a three-dimensional camera in the head-mounted device or in a separate electronic device.