Adaptive Eye Tracking Illumination for Lower XR Power Draw
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Eye movement tracking in extended reality devices consumes high power due to continuous operation of light sources, affecting battery life.
Innovation Solution
Adjust light emitting parameters dynamically based on eye images, including brightness and activation status of light sources, to reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the light source is kept always on for continuous eye movement tracking, then the tracking function is maintained, but power consumption increases and battery life is affected
Solution Approach 1:
The patent applies dynamics by making the light source configuration changeable based on real-time eye image quality. The system dynamically adjusts which light sources are activated depending on whether the current eye image has sufficient contrast, transforming a static always-on configuration into an adaptive dynamic configuration that balances tracking reliability with power consumption.
Solution Approach 2:
The patent changes the operational parameters of the light sources based on image quality assessment. When the eye image has sufficient contrast, the system reduces the number of active light sources or adjusts their intensity, thereby changing the power consumption parameter while maintaining adequate tracking function.
2Measurement precision
If the light source brightness is increased to improve eye image quality, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent applies partial action by activating only the necessary number of light sources based on current image quality requirements. Instead of keeping all light sources at full brightness continuously, the system uses only enough light sources to achieve sufficient image contrast, avoiding excessive power consumption while maintaining measurement precision.
Solution Approach 2:
The system implements feedback by continuously monitoring the quality of captured eye images and using this information to adjust light source configuration. The image quality assessment feeds back to the control logic, which then adjusts light source activation and brightness levels to optimize the balance between image quality and power consumption.
Data Source
Figure 1
Figure 2A~2C
Figure 3~4A
AI summary
This application relates to the field of terminal technologies, and discloses an eye movement tracking method, a readable storage medium, a program product, and an electronic device. The method is applied to an electronic device including a plurality of light sources. After capturing a frame of eye image in an eye movement tracking process, the electronic device may dynamically adjust, based on at least one of an image parameter of the frame of eye image, an eye movement manner of a user determined based on the frame of eye image, and a projection parameter of a light source projection in the frame of eye image, a light emitting parameter of each light source when the electronic device captures a next frame of eye image or a plurality of frames of eye image. For example, the electronic device adjusts light source brightness, or turns on/turns off a part of light sources. In this way, power consumption of the light sources in the electronic device can be reduced and eye movement tracking precision can be improved in some scenarios.