Directional Array Sensing Module for Head Wearable Displays
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Solution Overview
Problem
Head wearable displays face challenges in accommodating varying user eye sizes and positions without compromising the signal-to-noise ratio of eye sensing modules, which is crucial for accurate detection of eye movements and gestures.
Innovation Solution
The use of eye sensing modules with a combination of focusing lenses and directional prisms increases the field of view without enlarging the sensor size or distance, allowing for effective capture of eye movements and gestures across different eye positions, and discarding non-essential image data improves the signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the sensor size or distance is increased to capture a wider field of view for different eye positions, then the field of view is improved, but the device size and complexity increase
Solution Approach 1:
The patent introduces optical elements (lenses and prisms) as intermediaries between the eye and the sensor. These optical components redirect and focus light from different eye positions onto the fixed sensor, enabling a wider field of view without increasing sensor size. The prisms specifically redirect light rays at different angles to achieve this effect.
Solution Approach 2:
The patent changes the optical parameters of the system by introducing lenses with specific focal lengths and prisms with specific refractive angles. By adjusting these optical parameters, the system can capture a wider field of view while maintaining a compact sensor size, effectively resolving the contradiction between field of view and device complexity.
2Measurement precision
If all captured image data is processed, then complete eye movement detection is achieved, but the signal-to-noise ratio decreases due to inclusion of non-essential data
Solution Approach 1:
The patent extracts only the essential image data that contains meaningful eye movement information while discarding non-essential data. By identifying and removing redundant or irrelevant pixels and regions from the captured images, the system maintains accurate eye movement detection while improving the signal-to-noise ratio through selective data extraction.
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 solution enables head wearable displays to accurately detect eye movements and gestures across a range of user eye sizes and positions, enhancing user interaction with augmented reality features while maintaining a high signal-to-noise ratio.
Implementation Method 1
an array of directional prisms disposed over the focusing lenses. The array of directional prisms and the array of focusing lenses increase a field of view of the image sensor
Implementation Method 2
an array of focusing lenses disposed over the image sensor... The array of directional prisms and the array of focusing lenses increase a field of view of the image sensor
Data Source
AI summary
Embodiments describe an eye sensing module to detect eye movements and gestures. The eye sensing module is included in a head wearable display, and may be placed anywhere within the head wearable display so that the image sensor device has a line-of-sight to the user's eye. The eye sensing module comprises an image sensor, an array of focusing lenses disposed over the image sensor placed side-by-side (i.e., not on top of one another), and a corresponding array of directional prisms disposed over the focusing lenses. The directional prisms and the focusing lenses increase the field of view of the image sensor to enable the image sensor to capture eye gestures and eye movements for different user eye sizes, eye locations, and other varying eye characteristics. These eye sensing modules increase the field of view of the image sensor without increasing the size of image sensor or focusing lenses.