mlsanityData to 14 Oct 2026

A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis

arXiv 2101.04318 ↗First posted 12 Jan 2021cs.CVcited by 7

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Abstract (arXiv)

We present a new dataset with annotated eye movements. The dataset consists of over 800,000 gaze points recorded during a car ride in the real world and in the simulator. In total, the eye movements of 19 subjects were annotated. In this dataset there are several data sources such as the eyelid closure, the pupil center, the optical vector, and a vector into the pupil center starting from the center of the eye corners. These different data sources are analyzed and evaluated individually as well as in combination with respect to their goodness of fit for eye movement classification. These results will help developers of real-time systems and algorithms to find the best data sources for their application. Also, new algorithms can be trained and evaluated on this data set. The data and the Matlab code can be downloaded here https://atreus.informatik.uni-tuebingen.de/seafile/d/8e2ab8c3fdd444e1a135/?p=%2FA%20Multimodal%20Eye%20Movement%20Dataset%20and%20...&mode=list

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 16 of its 79 references that are in the map. First posted on arXiv 12 Jan 2021.

Builds on

16 of 79 references.

References · 16

  1. 2019Gaze360: Physically Unconstrained Gaze Estimation in the Wildcited by 174
  2. 2019Gaze-in-wild: A dataset for studying eye and head coordination in everyday activitiescited by 25
  3. 2020EllSeg: An Ellipse Segmentation Framework for Robust Gaze Trackingcited by 24
  4. 2016PupilNet: Convolutional Neural Networks for Robust Pupil Detectioncited by 20
  5. 2015ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environmentscited by 16
  6. 2020Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstructioncited by 12
  7. 2020Rotated Ring, Radial and Depth Wise Separable Radial Convolutionscited by 12
  8. 2018Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization toolscited by 11
  9. 2019Learning to Validate the Quality of Detected Landmarkscited by 11
  10. 2020Weight and Gradient Centralization in Deep Neural Networkscited by 11
  11. 2017Fast camera focus estimation for gaze-based focus controlcited by 10
  12. 2018Eye movement simulation and detector creation to reduce laborious parameter adjustmentscited by 10
4 more
  1. 2019Training Decision Trees as Replacement for Convolution Layerscited by 10
  2. 2020Multi Layer Neural Networks as Replacement for Pooling Operationscited by 8
  3. 2020Explainable Online Validation of Machine Learning Models for Practical Applicationscited by 8
  4. 2016End-to-End Eye Movement Detection Using Convolutional Neural Networkscited by 1

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Cited by year

Citing papers per year: 2021: 4; 2022: 2; 2023: 1.

7 papers.

  1. 2021TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Typescited by 32
  2. 20211000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learningcited by 7
  3. 2021Maximum and Leaky Maximum Propagationcited by 4
  4. 2021Tensor Normalization and Full Distribution Trainingcited by 3
  5. 2022GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projectioncited by 2
  6. 2022Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnetscited by 0
  7. 2023A temporally quantized distribution of pupil diameters as a new feature for cognitive load classificationcited by 0