eye gaze detection
The electrooculography signal is widely used to analyze eye movements, with an emphasis on its use in human-computer interaction. Various techniques based on artificial intelligence have been used for signal processing. These methods require a specific dataset to train algorithms capable of detecting eye movements. We designed an experiment in which horizontal and vertical eye movements were recorded in conjunction with different movement angles.
Abstract— Objective: Recently, pupil oscillation synchronized with a steady visual stimulus was employed for an input of an interface. The system is inspired by steady-state visual evoked potential (SSVEP) BCIs, but it eliminates the need for contact with the participant because it does not need electrodes to measure electroencephalography. However, the stimulation frequency is restricted to being below 2.5 Hz because of the mechanics of pupillary vibration and information transfer rate (ITR) is lower than SSVEP BCIs.