This innovation is a new method and system that uses deflectometric information for precise and fast eye tracking, which is a common requirement in current technologies for virtual reality, augmented reality, and mixed reality headsets. Three sub-techniques are used to evaluate the gazing direction including: classical deflectometry, inverse rendering from a virtual eye model, and a deep learning-based method. Other information such as the variances in eye shape and the use of corrective lenses may also be used. The developed method is easy to implement in current VR/AR/MR headsets, and research results show this novel method outperforms current state-of-the-art eye tracking technologies.
Background:
Eye tracking is a sensor technology that tracks a person's gaze and converts their eye movements into data. It captures information like pupil position, gaze vector, and gaze point in real-time. This technology provides valuable insights and can be utilized in various applications or as an additional input method. In essence, it deciphers eye movements and transforms them into usable data for different purposes. With the adoption of virtual reality, augmented reality, and mixed reality technologies, new methods are needed to increase user safety and enhance their experience in these immersive environments.
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