Gaze estimation is a technology used to determine where a person is looking by analyzing eye movements, often employing computer vision and machine learning techniques. It has applications in human-computer interaction, virtual reality, and cognitive research, providing insights into user attention and intention.

Gaze Estimation

Eye movements are crucial for visual perception, allowing the eyes to rapidly and accurately shift focus across a scene to gather detailed information. They are controlled by a complex interplay of neurological and muscular systems, enabling various types of movements like saccades, smooth pursuit, and vergence to facilitate different visual tasks.

Eye Movements

Computer vision is a field of artificial intelligence that enables computers to interpret and make decisions based on visual data from the world. It combines techniques from image processing, machine learning, and neural networks to allow machines to recognize objects, track movements, and understand scenes in a manner similar to human vision.

Computer Vision

Machine learning techniques

Human-computer interaction (HCI) is the study of how people interact with computers and to design technologies that let humans interact with computers in novel ways. It encompasses the design, evaluation, and implementation of interactive computing systems for human use and the study of major phenomena surrounding them.

Human-computer Interaction

Virtual reality (VR) is a computer-generated simulation that immerses users in a three-dimensional, interactive environment, often experienced through specialized headsets and controllers. It is widely used in gaming, training, education, and therapy, offering an innovative way to interact with digital content by creating a sense of presence and realism.

Concepts

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