As artificial intelligence (AI) transitions from research to deployment, creating the appropriate
datasets and data pipelines to develop and evaluate AI models is increasingly the biggest …

Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …

Experiments are increasingly moving online. This poses a major challenge for researchers
who rely on in-lab techniques such as eye-tracking. Researchers in computer science have …

Computational models have great potential to revolutionise psychiatry research and clinical
practice. These models are now used across multiple subfields, including computational …

The ability to regulate emotions in response to stress is central to healthy development.
Whereas early research in emotion regulation predominantly employed static, self-report …

In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI)
based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to …

In this study we provide an in-depth review and analysis of the impact of artificial intelligence
(AI) components and solutions that support the development of cutting-edge assistive …

In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Recent advances in computer vision have opened the door for scalable eye tracking using
only a webcam. Such solutions are particularly useful for online educational technologies, in …