# EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines

arXiv: https://arxiv.org/abs/2504.03760 · HTML: https://mlsanity.com/paper/2504.03760/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 35 references that are in the map.
- First posted on arXiv 2 Apr 2025.

## Builds on (most cited first, 8 of 8)

- [EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction](https://mlsanity.com/paper/2111.05100/) (2021)
- [Modern Non-Linear Function-on-Function Regression](https://mlsanity.com/paper/2107.14151/) (2021)
- [Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification](https://mlsanity.com/paper/2301.05869/) (2023)
- [Detecting deviations from second-order stationarity in locally stationary functional time series](https://mlsanity.com/paper/1808.04092/) (2018)
- [A Portmanteau-type test for detecting serial correlation in locally stationary functional time series](https://mlsanity.com/paper/2009.07312/) (2020)
- [One step closer to EEG based eye tracking](https://mlsanity.com/paper/2303.06039/) (2023)
- [GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis](https://mlsanity.com/paper/2401.15623/) (2024)
- [Consumer-grade EEG-based Eye Tracking](https://mlsanity.com/paper/2503.14322/) (2025)

## Built on by (most cited first, 1 of 1)

- [EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection](https://mlsanity.com/paper/2609.00566/) (2026)

## Abstract (arXiv)

A new benchmark dataset for functional data analysis (FDA) is presented, focusing on the reconstruction of eye movements from EEG data. The contribution is twofold: first, open challenges and evaluation metrics tailored to FDA applications are proposed. Second, functional neural networks are used to establish baseline results for the primary regression task of reconstructing eye movements from EEG signals. Baseline results are reported for the new dataset, based on consumer-grade hardware, and the EEGEyeNet dataset, based on research-grade hardware.