Collaborative Artificial Intelligence

Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.

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471 to 480 of 1,117 Results

ReadMe.txt Oct 31, 2022 - MPIIEgoFixation Plain Text - 2.5 KB - MD5: b5af3c99aad086b5128c5145e68ae4a9
Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Oct 28, 2022 Bulling, Andreas, 2022, "Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"", https://doi.org/10.18419/DARUS-3231, DaRUS, V1, UNF:6:ED4k3r2vTuaHMlglWvQ+Gw== [fileUNF] We were able to record a dataset of more than 80 hours of eye tracking data. The dataset comprises 7.8 hours of outdoor activities, 14.3 hours of social interaction, 31.3 hours of focused work, 8.3 hours of travel, 39.5 hours of reading, 28.7 hours of computer work, 18.3 hours of watching media, 7 hours of eating, and 11.4 hours of other (special)...
changelog.txt Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Plain Text - 174 B - MD5: d1e8879a219785a75d6f64cb046c75a2
P05_Annotation.csv Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Comma Separated Values - 63.2 MB - MD5: 587fd87178d97b1316f46008e47e68c2
P05_Annotation.npy Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Unknown - 433.8 MB - MD5: 836008430b4e3022b0e9dd1816053a03
P05_Recording.npy Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Unknown - 52.8 MB - MD5: 9a3a24c17be168eb2c325f7732b0c968
P05_Recording.tab Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Tabular Data - 65.4 MB - 9 Variables, 769610 Observations - UNF:6:uJ/vHM8vm+jt4UaB9sjUFg==
P06_Annotation.csv Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Comma Separated Values - 57.3 MB - MD5: f8a8d8fd1d9531fd1b91b7b2fa4b34ea
P06_Annotation.npy Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Unknown - 331.1 MB - MD5: adc1a3d5211afd55a5f3566fd081cdd8
P06_Recording.npy Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Unknown - 45.7 MB - MD5: f316a35064ca55935b1a1f3eda55c70e

ReadMe.txt

Oct 31, 2022 - MPIIEgoFixation

Plain Text - 2.5 KB -

Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Oct 28, 2022

Bulling, Andreas, 2022, "Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"", https://doi.org/10.18419/DARUS-3231, DaRUS, V1, UNF:6:ED4k3r2vTuaHMlglWvQ+Gw== [fileUNF]

We were able to record a dataset of more than 80 hours of eye tracking data. The dataset comprises 7.8 hours of outdoor activities, 14.3 hours of social interaction, 31.3 hours of focused work, 8.3 hours of travel, 39.5 hours of reading, 28.7 hours of computer work, 18.3 hours of watching media, 7 hours of eating, and 11.4 hours of other (special)...

changelog.txt

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Plain Text - 174 B -

P05_Annotation.csv

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Comma Separated Values - 63.2 MB -

P05_Annotation.npy

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Unknown - 433.8 MB -

P05_Recording.npy

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Unknown - 52.8 MB -

P05_Recording.tab

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Tabular Data - 65.4 MB - 9 Variables, 769610 Observations -

P06_Annotation.csv

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Comma Separated Values - 57.3 MB -

P06_Annotation.npy

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Unknown - 331.1 MB -

P06_Recording.npy

Oct 28, 2022 - Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Unknown - 45.7 MB -

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