Consumer-grade EEG-based Eye Tracking

EEG-based eye tracking (ET) is emerging as a promising application of brain-computer interfaces (BCIs) (Dietrich et al., 2017; Fuhl et al., 2023; Kastrati et al., 2021; Sun et al., 2023). While EEG is typically used to record the electrical activity of the brain, it also captures eye movement artifacts due to the inherent electrical charge of the eyes. Although these signals are usually considered noise in other BCI applications and are often removed (Croft and Barry, 2000), they can be effectively used to track eye movements. These signals are also easier to decode than brain activity, as they are not complicated by the complexity and noise associated with brain signal interpretation. In addition, achieving reliable and accurate eye tracking using EEG technology could significantly enhance existing consumer BCIs, opening up a wide range of new applications. Apart from the potential for BCI applications, EEG-based eye tracking is an interesting alternative to eye tracking in its own right, offering several advantages over camera-based eye tracking, which is the predominant method used for eye tracking today.