Eye Tracking Using Mobile Device Ambient Light Sensor
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Solution Overview
Problem
Existing eye tracking systems do not efficiently toggle between dark pupil and bright pupil identification methods, limiting their effectiveness and mobility, and they require special-purpose equipment, which hinders wider adoption and use in changing environments.
Innovation Solution
An eye tracking system that efficiently toggles between dark and bright pupil identification methods using a smartphone or tablet device, incorporating toggle circuitry, bright and dark pupil identification circuitry, and eye tracking circuitry, allowing for accurate pupil identification and tracking without the need for special-purpose equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple pupil identification methods are employed in all scenarios, then eye tracking accuracy is improved, but resource consumption increases
Solution Approach 1:
The system dynamically changes the operational parameters by switching between dark pupil identification and bright pupil identification methods based on ambient light conditions. The patent employs an ambient light sensor to detect lighting levels and selects the appropriate pupil identification algorithm accordingly, optimizing both accuracy and resource efficiency by using only the necessary method for current conditions.
Solution Approach 2:
The system implements dynamic adaptation by continuously monitoring ambient light conditions and adjusting the pupil identification method in real-time. This dynamic switching mechanism allows the eye tracker to adapt to changing environmental conditions, maintaining high accuracy while avoiding the resource overhead of running multiple methods simultaneously in all scenarios.
2Measurement precision
If special-purpose equipment is used for eye tracking, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent makes mobile devices perform multiple functions by enabling eye tracking capability using existing smartphone or tablet components (camera, processor, ambient light sensor) rather than requiring dedicated eye tracking hardware. This universal approach allows consumer mobile devices to function as both communication tools and eye tracking systems, eliminating the need for special-purpose equipment while maintaining measurement precision.
Solution Approach 2:
The system uses the existing camera system of mobile devices to capture eye images and processes these images through software algorithms to achieve pupil identification. Instead of requiring specialized optical hardware, the patent copies the functionality of dedicated eye tracking equipment using readily available mobile device components combined with image processing techniques.
3Measurement precision
If dedicated eye tracking devices are used, then measurement precision is improved, but mobility and consumer adoption decrease
Solution Approach 1:
The patent merges eye tracking functionality with existing mobile devices that consumers already carry and use daily. By combining eye tracking capabilities with smartphones or tablets, the system eliminates the need for separate dedicated eye tracking devices, thereby improving mobility and consumer adoption while maintaining measurement precision through software-based pupil identification methods.
Data Source
AI summary
Embodiments are disclosed for using an apparatus to perform pupil identification. An example method includes measuring, by a light sensor of the apparatus, an ambient infrared light level. The example method further includes determining whether the measured ambient infrared light level exceeds a threshold level. The example method further includes performing pupil identification on a user based on the determination of whether the measured ambient infrared light level exceeds the threshold level. In this regard, the example method involves performing bright pupil identification in an instance in which the measured ambient infrared light level exceeds the threshold level, and performing dark pupil identification if not. Corresponding apparatuses and non-transitory computer readable storage media are also provided.