51 citations · 135 across the 9 of their papers we have counts for
10 papers
An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography
Nina Weng, Martyna Plomecka, Manuel Kaufmann +3
Eye movements can reveal valuable insights into various aspects of human mental processes, physical well-being, and actions. Recently, several datasets have been made available tha…
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation
Ard Kastrati, Martyna Beata Plomecka, Joël Küchler +2
In this study, we validate the findings of previously published papers, showing the feasibility of an Electroencephalography (EEG) based gaze estimation. Moreover, we extend previo…
Detection of ADHD based on Eye Movements during Natural Viewing
Shuwen Deng, Paul Prasse, David R. Reich +7
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individ…
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Lukas Wolf, Ard Kastrati, Martyna Beata Płomecka +5
The collection of eye gaze information provides a window into many critical aspects of human cognition, health and behaviour. Additionally, many neuroscientific studies complement…
Reading Task Classification Using EEG and Eye-Tracking Data
Nora Hollenstein, Marius Tröndle, Martyna Plomecka +4
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 whethe…
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
Ard Kastrati, Martyna Beata Płomecka, Damián Pascual +4
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 simultaneo…
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Nora Hollenstein, Cedric Renggli, Benjamin Glaus +4
Until recently, human behavioral data from reading has mainly been of interest to researchers to understand human cognition. However, these human language processing signals can al…
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
Nora Hollenstein, Marius Troendle, Ce Zhang +1
We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous eye-tracking and electroencephalography during natural reading and during annotation. This corpus contains gaze…
CogniVal: A Framework for Cognitive Word Embedding Evaluation
Nora Hollenstein, Antonio de la Torre, Nicolas Langer +1
An interesting method of evaluating word representations is by how much they reflect the semantic representations in the human brain. However, most, if not all, previous works only…
Advancing NLP with Cognitive Language Processing Signals
Nora Hollenstein, Maria Barrett, Marius Troendle +3
When we read, our brain processes language and generates cognitive processing data such as gaze patterns and brain activity. These signals can be recorded while reading. Cognitive…