Invention:
This invention represents a significant advancement in the field of eye tracking technology by introducing a novel deflectometry approach to enhance accuracy that relies on leveraging dense 3D information obtained from the eye surface to estimate gaze direction. The key objective is to substantially decrease gaze estimation errors, aiming to improve from the current range of below 0.25° to 0.45°, down to an impressive level below 0.1°. This substantial reduction in errors holds the promise of pushing the boundaries of eye tracking precision and opens up new possibilities for applications requiring highly accurate gaze tracking.
Background:
Eye-tracking plays a crucial role in modern human-computer interaction (HCI) and machine perception (MP) methods as an enabling technology, particularly for Virtual Reality (VR). Recent implementations focus on application in VR headsets, as well as use cases in neuroscience research, and psychology. If implemented successfully, eye-tracking has the potential to be become the “go-to” input method for computers, mobile phones, or general user interfaces in the future and can potentially replace mouse and touchpads. Despite its big potential for future HCI and MP tasks, an accurate, robust, and fast eye-tracking solution remains a considerable challenge for current state-of-the-art methods and has evolved into a central unsolved problem in current VR headset research.
Applications:
- Human-Computer Interaction (HCI)
- Virtual Reality (VR) and Augmented Reality (AR) systems
- Gaming and simulation
- Medical research and diagnostics
- User experience testing in marketing and design
Advantages:
- Increased accuracy
- Reduced error range
- Versatile
- Precision improvement
