We present a new dataset and benchmark with the goal of advancing research in the
intersection of brain activities and eye movements. Our dataset, EEGEyeNet, consists of …

People find it challenging to control smart systems with complex gaze gestures due to the
vulnerability of eye saccades. Instead, the existing works achieved good recognition …

The collection of eye gaze information provides a window into many critical aspects of
human cognition, health and behaviour. Additionally, many neuroscientific studies …

In this paper, we present two approaches and algorithms that adapt areas of interest. We
present a new deep neural network (DNN) that can be used to directly determine gaze …

Adding Eye Gaze Estimation to the Internet of Medical Things (IoMT) marks a shift in
healthcare diagnostic and treatment procedures. The clinical effects of merging these two …

While DETRtime [1] is a powerful architecture for detecting events in time series signals,
there are still several issues where it can be improved upon. Therefore, in this project report …

Deciphering how humans perceive physical spaces can lead to new reality capture methods
and eventually replace measurement instruments like terrestrial laser scanners (TLSs). The …

This thesis contributes to a project that aims to develop an electroencephalography (EEG)
based eye-tracker. Using a large dataset of simultaneously recorded EEG and infrared video …