Eye Gesture Tracking With Depth Mapping for Dynamic Gaze Control
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Solution Overview
Problem
Current eye gesture tracking technologies are limited in their ability to provide accurate and dynamic gaze information for controlling human-machine interaction and enhancing viewing experiences, particularly in virtual reality and augmented reality applications, due to constraints in detection regions and the need for complex computational algorithms for 3D rendering.
Innovation Solution
A method and system for eye gesture tracking that involves demodulating modulated optical signals reflected from the eye to generate a depth map and determine gaze information, using tunable optical elements to dynamically refocus light and provide nausea-free viewing experiences through real-time focusing and foveated imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional eye gesture tracking methods are used, then gaze information can be obtained, but the detection region is limited and computational complexity increases
Solution Approach 1:
The patent replaces complex computational algorithms with optical physics-based methods. By using time-of-flight measurement and phase detection, the system directly calculates depth and gaze information from optical signal properties rather than processing complex image data, thereby expanding detection region while reducing computational complexity
Solution Approach 2:
The patent introduces time dimension through modulated optical signals and phase detection. By measuring the time of flight of light and analyzing phase differences, the system obtains three-dimensional depth information and gaze direction simultaneously, expanding the detection region without proportionally increasing computational burden
2Reliability
If fixed focus optical elements are used, then device structure is simple, but viewing experiences suffer from nausea and lack of depth perception
Solution Approach 1:
The patent implements dynamic optical elements that can adjust focus in real-time based on detected gaze information. The optical elements transition from static to dynamic, allowing the system to provide comfortable viewing experiences by matching optical focus with user gaze while maintaining manageable device complexity through automated control
Solution Approach 2:
The patent establishes a feedback loop where detected gaze information is used to control optical element focusing. The system continuously monitors eye position and adjusts optical focus accordingly, creating a closed-loop control system that enhances viewing comfort while automating the complexity of optical tuning
3Measurement precision
If complex algorithms are used for 3D rendering, then image quality is improved, but processing time and computational resources increase
Solution Approach 1:
The patent replaces complex image processing algorithms with direct optical measurement methods. By using time-of-flight phase detection, the system obtains precise three-dimensional gaze information directly from optical signals without requiring intensive computational rendering, thereby maintaining high accuracy while reducing processing time
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
Enables cross-platform peripheral control, extended operation regions, and nausea-free viewing experiences by accurately tracking eye gestures and adjusting optical elements in real-time, providing a natural 3D effect without the need for complex algorithms.
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
Light can be directed towards an eye and reflected light may be observed
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.