Eye Gesture Depth Mapping for Real-Time Optical Refocusing
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Solution Overview
Problem
Current eye gesture tracking technologies face challenges in accurately determining gaze information and providing real-time feedback to adjust optical elements, leading to inconsistent viewing experiences, especially in virtual and augmented reality applications.
Innovation Solution
The method involves demodulating modulated optical signals reflected from the eye to generate a depth map, which is then used to determine gaze information. This information is utilized to dynamically refocus tunable optical elements in real-time, ensuring consistent depth perception and reducing nausea-inducing inconsistencies between accommodation and vergence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demodulation of modulated optical signals is used to determine gaze information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system applies preliminary modulation to the optical signals before they interact with the eye. By encoding the illumination signals with known modulation patterns, the system prepares the signals in advance so that their reflected counterparts can be easily demodulated and compared against reference signals, thereby improving gaze measurement precision without requiring overly complex real-time processing
Solution Approach 2:
The system employs feedback mechanisms by comparing demodulated signals from the eye reflection against reference signals. This feedback loop enables continuous refinement of gaze information determination, improving measurement accuracy through iterative signal comparison and error correction
2Stability of the object's composition
If real-time refocusing of tunable optical elements is implemented, then viewing experience consistency is improved, but response time requirements increase system complexity
Solution Approach 1:
The system uses feedback from depth map analysis to continuously adjust tunable optical elements. By monitoring eye gestures and depth information in real-time, the system dynamically refocuses optical elements to maintain consistent depth perception, with the feedback loop ensuring stability while adapting to changing viewing conditions
Solution Approach 2:
The system implements dynamic refocusing by making the optical elements tunable and adjustable in real-time. Rather than using fixed focal length elements, the system dynamically changes the optical properties of lenses or mirrors based on detected eye gestures, enabling adaptive focus adjustment that maintains image quality across varying depths
3Measurement precision
If depth map generation from phase differences is used, then measurement precision is improved, but calculation complexity increases
Solution Approach 1:
The system uses optical modulation analogous to vibration, where light signals are modulated at specific frequencies before reflection. By analyzing phase differences in these modulated signals, the system can precisely determine depth information through frequency-based measurement techniques that simplify the calculation compared to direct time-of-flight measurements
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 enables accurate and real-time tracking of eye gestures, allowing for improved viewing experiences by maintaining consistent depth perception and reducing feelings of nausea, while also providing enhanced control over optical elements for foveated imaging.
Implementation Method 1
obtaining an electrical signal that represents a measurement, by a photodetector, of an optical signal reflected from an eye
Implementation Method 2
determining a depth map of the eye based on phase differences between the electrical signal generated by the photodetector and a reference signal
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for eye gesture recognition. In one aspect, a method includes obtaining an electrical signal that represents a measurement, by a photodetector, of an optical signal reflected from an eye and determining a depth map of the eye based on phase differences between the electrical signal generated by the photodetector and a reference signal. Further, the method includes determining gaze information that represents a gaze of the eye based on the depth map and providing output data representing the gaze information.