A privacy-preserving approach to streaming eye-tracking data
Eye-tracking technology is being increasingly integrated into mixed reality devices. Although
critical applications are being enabled, there are significant possibilities for violating user …
critical applications are being enabled, there are significant possibilities for violating user …
Privacy-preserving datasets of eye-tracking samples with applications in XR
Virtual and mixed-reality (XR) technology has advanced significantly in the last few years
and will enable the future of work, education, socialization, and entertainment. Eye-tracking …
and will enable the future of work, education, socialization, and entertainment. Eye-tracking …
Encodji: encoding gaze data into emoji space for an amusing scanpath classification approach
To this day, a variety of information has been obtained from human eye movements, which
holds an imense potential to understand and classify cognitive processes and states-eg …
holds an imense potential to understand and classify cognitive processes and states-eg …
Few-shot learning for fine-grained emotion recognition using physiological signals
Fine-grained emotion recognition can model the temporal dynamics of emotions, which is
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
Ferns for area of interest free scanpath classification
Scanpath classification can offer insight into the visual strategies of groups such as experts
and novices. We propose to use random ferns in combination with saccade angle …
and novices. We propose to use random ferns in combination with saccade angle …
A trainable feature extractor module for deep neural networks and scanpath classification
W Fuhl - arXiv preprint arXiv:2403.12493, 2024 - arxiv.org
Scanpath classification is an area in eye tracking research with possible applications in
medicine, manufacturing as well as training systems for students in various domains. In this …
medicine, manufacturing as well as training systems for students in various domains. In this …
Weakly-supervised learning for fine-grained emotion recognition using physiological signals
Instead of predicting just one emotion for one activity (eg, video watching), fine-grained
emotion recognition enables more temporally precise recognition. Previous works on fine …
emotion recognition enables more temporally precise recognition. Previous works on fine …
Imaging time series of eye tracking data to classify attentional states
LM Vortmann, J Knychalla… - Frontiers in …, 2021 - frontiersin.org
It has been shown that conclusions about the human mental state can be drawn from eye
gaze behavior by several previous studies. For this reason, eye tracking recordings are …
gaze behavior by several previous studies. For this reason, eye tracking recordings are …
[HTML][HTML] Anonymizing eye-tracking stimuli with stable diffusion
K Kurzhals - Computers & Graphics, 2024 - Elsevier
Casual users nowadays can create almost arbitrary image content by providing textual
prompts to generative machine-learning models. These models rapidly improve image …
prompts to generative machine-learning models. These models rapidly improve image …
Privacy-preserving viewport prediction using federated learning for 360° live video streaming
Predicting the user's viewport scanpath is an essential task for 360° viewport-based
adaptive streaming. It informs the system which parts of content should be streamed with …
adaptive streaming. It informs the system which parts of content should be streamed with …