MHFNet: A Multimodal Hybrid-embedding Fusion Network for Automatic Sleep Staging

R Liu, J Li, Y Wen, X Huang, B Sheng… - IEEE Journal of …, 2025 - ieeexplore.ieee.org
Scoring sleep stages is essential for evaluating the status of sleep continuity and
comprehending its structure. Despite previous attempts, automating sleep scoring remains …

EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures

T Liang, A Damoah - International Conference on Human-Computer …, 2025 - Springer
Electroencephalography (EEG) analysis is an important domain in the realm of Brain-
Computer Interface (BCI) research. To ensure BCI devices are capable of providing practical …

Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data

C Qiu, B Liang, ML Key - International Conference on Human-Computer …, 2024 - Springer
In this paper, we present an algorithm of gaze prediction from Electroencephalography
(EEG) data. EEG-based gaze prediction is a new research topic that can serve as an …

Refining Human-Data Interaction: Advanced Techniques for EEGEyeNet Dataset Precision

J Wu, J Dou, S Utoft - International Conference on Human-Computer …, 2025 - Springer
The EEGEyeNet dataset merges EEG data with eye-tracking technology to advance
cognitive research at the intersection of brain dynamics and eye movement. By develo** …

A Hybrid Approach for Driving Behavior Recognition: Integration of CNN and Transformer-Encoder with EEG data

Y Wang, T Liu, Y Qin, S Shen… - 2023 IEEE 98th Vehicular …, 2023 - ieeexplore.ieee.org
Human factors are considered as one of the main causes affecting road traffic safety.
Therefore, it is highly necessary to establish a driving behavior model for predicting driver …

[PDF][PDF] Towards Semi-Supervised Region-Learning for Electroencephalography Models

D Klebe, JM Li, L Wolf - 2023 - pub.tik.ee.ethz.ch
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 …

[PDF][PDF] Overview of Achievements

R Wattenhofer - 2024 - disco.ethz.ch
Objective Overview of Achievements Page 1 Roger Wattenhofer ETH Zurich, 8092 Zurich,
Switzerland phone +41 44 632 6312, fax +41 44 632 1035 wattenhofer@ethz.ch, www.disco.ethz.ch …