1 to 10 of 19 Results
May 16, 2024 - Perceptual User Interfaces
Bulling, Andreas, 2024, "InvisibleEye", https://doi.org/10.18419/darus-3288, DaRUS, V1
We recorded a dataset of more than 280,000 close-up eye images with ground truth annotation of the gaze location. A total of 17 participants were recorded, covering a wide range of appearances: Gender: Five (29%) female and 12 (71%) male Nationality: Seven (41%) German, seven (41... |
Apr 8, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour (Dataset and Reproduction Data)", https://doi.org/10.18419/darus-3138, DaRUS, V1, UNF:6:NwphGtoYrBQqd2TyRh0OHA== [fileUNF]
This dataset contains stimuli and collected participant data of VisRecall++. The structure of the dataset is described in the README-File. Further, if you are interested in related codes of the publication, you can find a copy of the code repository (see Metadata for Research Sof... |
Wang, Yao; Bulling, Andreas, 2024, "Saliency3D: A 3D Saliency Dataset Collected on Screen (Dataset and Experiment Application)", https://doi.org/10.18419/darus-4101, DaRUS, V1
While visual saliency has recently been studied in 3D, the experimental setup for collecting 3D saliency data can be expensive and cumbersome. To address this challenge, we propose a novel experimental design that utilizes an eye tracker on a screen to collect 3D saliency data. O... |
Mar 14, 2023 - Perceptual User Interfaces
Bulling, Andreas, 2023, "MPIIFaceGaze", https://doi.org/10.18419/darus-3240, DaRUS, V1
We present the MPIIFaceGaze dataset which is based on the MPIIGaze dataset, with the additional human facial landmark annotation and the face regions available. We added additional facial landmark and pupil center annotations for 37,667 face images. Facial landmarks annotations w... |
Mar 8, 2023 - Perceptual User Interfaces
Bulling, Andreas, 2023, "Labeled pupils in the wild (LPW)", https://doi.org/10.18419/darus-3237, DaRUS, V1
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The videos in our dataset were recorded from 22 participants in everyday locations at about 95 FPS usin... |
Feb 24, 2023 - Perceptual User Interfaces
Bulling, Andreas, 2023, "MPIIEmo", https://doi.org/10.18419/darus-3287, DaRUS, V1
We present a human-validated dataset that contains 224 high-resolution, multi-view video clips and audio recordings of emotionally charged interactions between eight couples of actors. The dataset is fully annotated with categorical labels for four basic emotions (anger, happines... |
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "DEyeAdicContact", https://doi.org/10.18419/darus-3289, DaRUS, V1, UNF:6:7QxaU+oeOPfaI8gMpCn5cw== [fileUNF]
We created our own dataset of natural dyadic interactions with fine-grained eye contact annotations using videos of dyadic interviews published on YouTube. Especially compared to lab-based recordings, these Youtube interviews allow us to analyse behaviour in a natural situation.... |
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIMobileAttention", https://doi.org/10.18419/darus-3285, DaRUS, V1
This is a novel long-term dataset of everyday mobile phone interactions, continuously recorded from 20 participants engaged in common activities on a university campus over 4.5 hours each (more than 90 hours in total). |
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIPrivacEye", https://doi.org/10.18419/darus-3286, DaRUS, V1
First-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity. The dataset of Steil et al. contains more than 90 hours of data recorded continuously from 20 participants (six females, aged 22-31) over more than fo... |
Oct 31, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIEgoFixation", https://doi.org/10.18419/darus-3234, DaRUS, V1, UNF:6:fcDo56Ha9jxYApA9klubEQ== [fileUNF]
This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User In... |
