129 citations · 718 across the 31 of their papers we have counts for
19 papers · 1 filter
A temporally quantized distribution of pupil diameters as a new feature for cognitive load classification
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking…
Area of interest adaption using feature importance
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present two approaches and algorithms that adapt areas of interest (AOI) or regions of interest (ROI), respectively, to the eye tracking data quality and classifi…
Where and What: Driver Attention-based Object Detection
Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl +1
Human drivers use their attentional mechanisms to focus on critical objects and make decisions while driving. As human attention can be revealed from gaze data, capturing and analy…
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
Wolfgang Fuhl, Daniel Weber, Shahram Eivazi
In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze direction and the gaze position of whole groups. GroupGazer calculates the gaze direction of…
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze
Wolfgang Fuhl, Daniel Weber, Shahram Eivazi
This paper describes a feature extraction and gaze estimation software, named \textit{Pistol} that can be used with Pupil Invisible projects and other eye trackers in the future. I…
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
In this work, we introduce pixel wise tensor normalization, which is inserted after rectifier linear units and, together with batch normalization, provides a significant improvemen…
A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis
Wolfgang Fuhl, Enkelejda Kasneci
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 Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications
Wolfgang Fuhl, Daniel Weber, Shahram Eivazi
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…
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Wolfgang Fuhl, Enkelejda Kasneci
Simple image rotations significantly reduce the accuracy of deep neural networks. Moreover, training with all possible rotations increases the data set, which also increases the tr…
Weight and Gradient Centralization in Deep Neural Networks
Wolfgang Fuhl, Enkelejda Kasneci
Batch normalization is currently the most widely used variant of internal normalization for deep neural networks. Additional work has shown that the normalization of weights and ad…
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl, Enkelejda Kasneci
Pooling operations, which can be calculated at low cost and serve as a linear or nonlinear transfer function for data reduction, are found in almost every modern neural network. Co…
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci
In this paper, we use fully convolutional neural networks for the semantic segmentation of eye tracking data. We also use these networks for reconstruction, and in conjunction with…
Learning to Validate the Quality of Detected Landmarks
Wolfgang Fuhl, Enkelejda Kasneci
We present a new loss function for the validation of image landmarks detected via Convolutional Neural Networks (CNN). The network learns to estimate how accurate its landmark esti…
PuRe: Robust pupil detection for real-time pervasive eye tracking
Thiago Santini, Wolfgang Fuhl, Enkelejda Kasneci
Real-time, accurate, and robust pupil detection is an essential prerequisite to enable pervasive eye-tracking and its applications -- e.g., gaze-based human computer interaction, h…
Fast camera focus estimation for gaze-based focus control
Wolfgang Fuhl, Thiago Santini, Enkelejda Kasneci
Many cameras implement auto-focus functionality. However, they typically require the user to manually identify the location to be focused on. While such an approach works for tempo…
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci +2
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in realworld scenarios has p…
PupilNet: Convolutional Neural Networks for Robust Pupil Detection
Wolfgang Fuhl, Thiago Santini, Gjergji Kasneci +1
Real-time, accurate, and robust pupil detection is an essential prerequisite for pervasive video-based eye-tracking. However, automated pupil detection in real-world scenarios has…
Bayesian Identification of Fixations, Saccades, and Smooth Pursuits
Thiago Santini, Wolfgang Fuhl, Thomas Kübler +1
Smooth pursuit eye movements provide meaningful insights and information on subject's behavior and health and may, in particular situations, disturb the performance of typical fixa…
ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments
Wolfgang Fuhl, Thiago C. Santini, Thomas Kuebler +1
Fast and robust pupil detection is an essential prerequisite for video-based eye-tracking in real-world settings. Several algorithms for image-based pupil detection have been propo…