Gaze tracking is increasingly becoming an essential component in Augmented and Virtual
Reality. Modern gaze tracking algorithms are heavyweight; they operate at most 5 Hz on …

The Zurich Cognitive Language Processing Corpus (ZuCo) provides eye-tracking and EEG
signals from two reading paradigms, normal reading and task-specific reading. We analyze …

With the constant exploration and development of intelligent manufacturing, the concept of
digital twins has been proposed and applied. In view of the complexity and …

A high cognitive load could significantly impair problem-solving skills.
Electroencephalogram (EEG)-based real-time assessment of mental workload is feasible …

Abstract The Gaze Estimation (GE) task aims to estimate the gaze direction of the current
frame with the existing image information. We find a reasonable scene where we only can …

Eye tracking is becoming an increasingly important task domain in emerging computing
platforms such as Augmented/Virtual Reality (AR/VR). Today's eye tracking system suffers …

Everyone has long recognized smart phones and other mobile technology's capability to
enhance cognitive abilities. The majority of studies on smart phones and tablets while …

We present a new machine learning benchmark for reading task classification with the goal
of advancing EEG and eye-tracking research at the intersection between computational …

The proposed architecture leverages the recording device's metadata by encoding the initial
position of the recording electrodes into a graph structure which is then processed by the …