[BOOK][B] Eye tracking methodology: Theory and practice

AT Duchowski, AT Duchowski - 2017 - Springer
Andrew T. Duchowski Theory and Practice Third Edition Page 1 Eye Tracking Methodology
Andrew T. Duchowski Theory and Practice Third Edition Page 2 Eye Tracking Methodology …

Gaze-based interaction: A 30 year retrospective

AT Duchowski - Computers & Graphics, 2018 - Elsevier
Gaze-based interaction is reviewed, categorized within a taxonomy that splits interaction into
four forms, namely diagnostic (off-line measurement), active (selection, look to shoot) …

gazeNet: End-to-end eye-movement event detection with deep neural networks

R Zemblys, DC Niehorster, K Holmqvist - Behavior research methods, 2019 - Springer
Existing event detection algorithms for eye-movement data almost exclusively rely on
thresholding one or more hand-crafted signal features, each computed from the stream of …

Fully convolutional neural networks for raw eye tracking data segmentation, generation, and reconstruction

W Fuhl, Y Rong, E Kasneci - 2020 25th International …, 2021 - ieeexplore.ieee.org
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 a …

Eyesyn: Psychology-inspired eye movement synthesis for gaze-based activity recognition

G Lan, T Scargill, M Gorlatova - 2022 21st ACM/IEEE …, 2022 - ieeexplore.ieee.org
Recent advances in eye tracking have given birth to a new genre of gaze-based context
sensing applications, ranging from cognitive load estimation to emotion recognition. To …

Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools

W Fuhl, E Kasneci - arxiv preprint arxiv:1808.09296, 2018 - arxiv.org
Eye movements hold information about human perception, intention, and cognitive state. We
propose a novel eye movement simulator that i) probabilistically simulates saccade …

Eye movement simulation and detector creation to reduce laborious parameter adjustments

W Fuhl, T Santini, T Kuebler, N Castner… - arxiv preprint arxiv …, 2018 - arxiv.org
Eye movements hold information about human perception, intention and cognitive state.
Various algorithms have been proposed to identify and distinguish eye movements …

Hpcgen: Hierarchical k-means clustering and level based principal components for scan path genaration

W Fuhl, E Kasneci - 2022 Symposium on Eye Tracking Research and …, 2022 - dl.acm.org
In this paper, we present a new approach for decomposing scan paths and its utility for
generating new scan paths. For this purpose, we use the K-Means clustering procedure to …

[HTML][HTML] Improving cognitive-state analysis from eye gaze with synthetic eye-movement data

P Prasse, DR Reich, S Makowski, T Scheffer… - Computers & …, 2024 - Elsevier
Eye movements can be used to analyze a viewer's cognitive capacities or mental state.
Neural networks that process the raw eye-tracking signal can outperform methods that …

[PDF][PDF] Internet of things (IoT) based smart vehicle security and safety system

Y Sabri, A Siham, A Maizate - International Journal of Advanced …, 2021 - academia.edu
The Internet of Things (IoT) is making human life easy in all aspects. The applications it
offers are beyond comprehension. IoT is an abstract idea, a notion which interconnects all …