Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
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571 to 580 of 1,097 Results
participant_5.1.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 616.1 KB - MD5: d8027b8ddc762c482fe7c58afc865826
participant_5.2.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 651.3 KB - MD5: ca5915da1c5c82dc35f6863002b73a33
participant_5.3.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 660.2 KB - MD5: a7f482054673efdf814571f2853f85c8
participant_6.0.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 177.2 KB - MD5: 41e3ddd48212112c5af6dbf36007667b
participant_6.1.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 465.8 KB - MD5: 8c70959c367b211a18d36c91262c7d1b
participant_6.2.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 634.0 KB - MD5: c5652908df8c5a0b6b2df0a3d1ab290b
participant_6.3.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 575.6 KB - MD5: ca96e7070cd7d923199806ac2e47077a
participant_6.4.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 914.0 KB - MD5: 069467b065173cd99121fbd958357e9a
participant_7.0.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 266.4 KB - MD5: b0fc56d2ef2fa4c1f00c0f091f90e7d7
participant_7.1.mat
Oct 20, 2022 - Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"
MATLAB Data - 594.9 KB - MD5: 73bbb9f58854f89b724b012fc9be6e0a
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