A Deep Learning Approach for the Segmentation of Electroencephalography
Data in Eye Tracking Applications

A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications

17 June 2022

Alexander Veicht

Roger Wattenhofer

Papers citing "A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications"

5 / 5 papers shown

Title
Single-Channel EEG Tokenization Through Time-Frequency Modeling Jathurshan Pradeepkumar Xihao Piao Zheng Chen Jimeng Sun 45 1 0 22 Feb 2025
Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data Chuhui Qiu Bugao Liang Matthew L. Key 36 0 0 06 Aug 2024
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures Teng Liang Andrews Damoah 45 0 0 06 Aug 2024
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation Ard Kastrati M. Płomecka Joel Kuchler N. Langer Roger Wattenhofer 21 5 0 19 Feb 2023
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 102 1,072 0 11 Sep 2019