# The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications

arXiv: https://arxiv.org/abs/2101.03793 · HTML: https://mlsanity.com/paper/2101.03793/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- Builds on 14 of its 84 references that are in the map.
- First posted on arXiv 11 Jan 2021.

## Builds on (most cited first, 14 of 14)

- [PupilNet: Convolutional Neural Networks for Robust Pupil Detection](https://mlsanity.com/paper/1601.04902/) (2016)
- [ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments](https://mlsanity.com/paper/1511.06575/) (2015)
- [Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction](https://mlsanity.com/paper/2002.10905/) (2020)
- [Rotated Ring, Radial and Depth Wise Separable Radial Convolutions](https://mlsanity.com/paper/2010.00873/) (2020)
- [Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools](https://mlsanity.com/paper/1808.09296/) (2018)
- [Learning to Validate the Quality of Detected Landmarks](https://mlsanity.com/paper/1901.10143/) (2019)
- [Weight and Gradient Centralization in Deep Neural Networks](https://mlsanity.com/paper/2010.00866/) (2020)
- [Fast camera focus estimation for gaze-based focus control](https://mlsanity.com/paper/1711.03306/) (2017)
- [Eye movement simulation and detector creation to reduce laborious parameter adjustments](https://mlsanity.com/paper/1804.00970/) (2018)
- [Training Decision Trees as Replacement for Convolution Layers](https://mlsanity.com/paper/1905.10073/) (2019)
- [Multi Layer Neural Networks as Replacement for Pooling Operations](https://mlsanity.com/paper/2006.06969/) (2020)
- [Explainable Online Validation of Machine Learning Models for Practical Applications](https://mlsanity.com/paper/2010.00821/) (2020)
- [Clicktok: Click Fraud Detection using Traffic Analysis](https://mlsanity.com/paper/1903.00733/) (2019)
- [Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach](https://mlsanity.com/paper/1805.00464/) (2018)

## Built on by (most cited first, 10 of 10)

- [TEyeD: 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 Types](https://mlsanity.com/paper/2102.02115/) (2021)
- [1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning](https://mlsanity.com/paper/2102.01921/) (2021)
- [Maximum and Leaky Maximum Propagation](https://mlsanity.com/paper/2105.10277/) (2021)
- [Tensor Normalization and Full Distribution Training](https://mlsanity.com/paper/2109.02345/) (2021)
- [GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection](https://mlsanity.com/paper/2201.07692/) (2022)
- [Gaze-based Object Detection in the Wild](https://mlsanity.com/paper/2203.15651/) (2022)
- [Area of interest adaption using feature importance](https://mlsanity.com/paper/2303.12744/) (2023)
- [Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets](https://mlsanity.com/paper/2206.09697/) (2022)
- [Teaching Unknown Objects by Leveraging Human Gaze and Augmented Reality in Human-Robot Interaction](https://mlsanity.com/paper/2312.07638/) (2023)
- [A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classification](https://mlsanity.com/paper/2403.12493/) (2024)

## Abstract (arXiv)

In this work, we inspect different data sources for browser fingerprints. We show which disadvantages and limitations browser statistics have and how this can be avoided with other data sources. Since human visual behavior is a rich source of information and also contains person specific information, it is a valuable source for browser fingerprints. However, human gaze acquisition in the browser also has disadvantages, such as inaccuracies via webcam and the restriction that the user must first allow access to the camera. However, it is also known that the mouse movements and the human gaze correlate and therefore, the mouse movements can be used instead of the gaze signal. In our evaluation, we show the influence of all possible combinations of the three information sources for user recognition and describe our simple approach in detail. Link: https://es-cloud.cs.uni-tuebingen.de/d/8e2ab8c3fdd444e1a135/?p=%2FThe%20Gaze%20and%20Mouse%20Signal%20as%20additional%20Source%20...&mode=list