Eye Tracking Module Using Color-Coded Light Spots
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Solution Overview
Problem
Current eye tracking technologies in extended reality devices face challenges in recognition accuracy and efficiency due to light spot confusion and varying distances between the eyeball and the tracking module, leading to reduced solving accuracy and increased power consumption.
Innovation Solution
A module for tracking an eyeball that includes a luminescent light source forming a first light spot on the eye, allowing for the determination of the position of the luminescent light source corresponding to at least part of the light spots in the light spot image, thereby improving recognition accuracy and reducing system power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple luminescent light sources are used to form light spots on the eyeball for tracking, then the eye tracking coverage and functionality are improved, but light spot confusion occurs reducing recognition accuracy
Solution Approach 1:
The patent applies color coding to different luminescent light sources by assigning distinct wavelengths (e.g., first wavelength for first light source, second wavelength for second light source). The image acquiring unit captures light spots with different colors corresponding to different light sources, enabling the analyzing unit to distinguish and identify each light spot accurately, thereby preventing light spot confusion while maintaining multi-light-source functionality.
2Adaptability or versatility
If the distance between the eyeball and tracking module varies, then user comfort and adaptability are improved, but solving accuracy decreases
Solution Approach 1:
The patent employs a feedback mechanism where the image acquiring unit continuously captures images of the eyeball and light spots, the analyzing unit processes these images to determine eyeball pose and position, and the system adjusts based on this information. This feedback loop maintains accurate eye tracking despite variations in distance between the eyeball and tracking module, as the system can dynamically compensate for distance changes.
3Measurement precision
If complex algorithms are used to resolve light spot confusion and improve recognition accuracy, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
By encoding light sources with distinct wavelengths that manifest as different colors in the captured images, the patent simplifies the analysis process. Instead of using complex algorithms to distinguish between identical-looking light spots, the system leverages color information to automatically identify and differentiate light spots, reducing computational complexity while maintaining high recognition accuracy.
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
The solution enhances eye tracking accuracy, increases the available range of eye tracking, simplifies the algorithm, and reduces power consumption by preventing light spot confusion and optimizing the positioning of luminescent light sources.
Implementation Method 1
a luminescent light source configured to form a light spot on an eye of a user
Data Source
AI summary
The present disclosure provides a module for tracking an eyeball and an extended reality device. Specifically, the module for tracking an eyeball includes luminescent light sources configured to form light spots on an eye of a user; an image acquiring unit configured to acquire a tracking image of a target area; and an analyzing unit configured to determine a pose of the eyeball based on an eye image and a light spot image in the tracking image; wherein, the luminescent light sources comprise a first light source and form a first light spot on the eye, so as to determine a position of a luminescent light source corresponding to at least part of light spots in the light spot image based on the first light spot.


