mlsanityData to 14 Oct 2026

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

arXiv 2408.03478 ↗First posted 6 Aug 2024cs.LGcited by 0

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Abstract (arXiv)

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 alternative to traditional video-based eye-tracking. Compared to the existing state-of-the-art (SOTA) method, we improved the root mean-squared-error of EEG-based gaze prediction to 53.06 millimeters, while reducing the training time to less than 33% of its original duration. Our source code can be found at https://github.com/AmCh-Q/CSCI6907Project

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 48 references that are in the map. First posted on arXiv 6 Aug 2024.

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19 of 48 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  4. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 7,005
  5. 2021Transformers in Vision: A Surveycited by 1,013
  6. 2016EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfacescited by 628
  7. 2021ImageNet-21K Pretraining for the Massescited by 613
  8. 2019Deep learning-based electroencephalography analysis: a systematic reviewcited by 156
  9. 2023Machine Learning for Synthetic Data Generation: A Reviewcited by 120
  10. 2021EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Predictioncited by 21
  11. 2020Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networkscited by 14
  12. 2023Successfully Applying Lottery Ticket Hypothesis to Diffusion Modelcited by 11
7 more
  1. 2022A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applicationscited by 7
  2. 2022Time Majority Voting, a PC-based EEG Classifier for Non-expert Userscited by 7
  3. 2023Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researcherscited by 7
  4. 2023ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Datacited by 7
  5. 2022BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Studentscited by 6
  6. 2022Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional Shiftcited by 3
  7. 2022Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity for Robust Left-Right Eye-Tracking Classifierscited by 1

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