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Part 1: Document Description
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Citation |
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Title: |
Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography" |
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Identification Number: |
doi:10.18419/darus-3135 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2022-10-17 |
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Version: |
1 |
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Bibliographic Citation: |
Bulling, Andreas, 2022, "Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography"", https://doi.org/10.18419/darus-3135, DaRUS, V1 |
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Citation |
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Title: |
Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography" |
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Identification Number: |
doi:10.18419/darus-3135 |
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Authoring Entity: |
Bulling, Andreas (Universität Stuttgart) |
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Other identifications and acknowledgements: |
Feodor Lynen Research Fellowship of the Alexander von Humboldt Foundation, Germany |
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Distributor: |
DaRUS |
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Access Authority: |
Bulling, Andreas |
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Depositor: |
Perceptual User Interfaces |
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Date of Deposit: |
2022-09-01 |
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Holdings Information: |
https://doi.org/10.18419/darus-3135 |
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Study Scope |
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Keywords: |
Computer and Information Science |
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Topic Classification: |
Electrooculography, Activity Recognition |
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Abstract: |
This dataset was recorded to investigate the problem of recognising common office activities from eye movements. The experimental scenario involved five office-based activities - copying a text, reading a printed paper, taking handwritten notes, watching a video, and browsing the Web - and periods during which participants took a rest (the NULL class). The dataset has the following characteristics: <ul> <li>~8 hours of eye movement data recorded using a wearable Electrooculography (EOG) system <li>8 participants (2 female, 6 male), aged between 23 and 31 years <li>2 experimental runs for each participant, each run involving them in a sequence of five different, randomly ordered office activities and a period of rest <li>separate horizontal and vertical EOG channels, joint sampling frequency of 128Hz <li>fully ground truth annotated (5 activity classes plus NULL) </ul> |
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Kind of Data: |
Raw signals |
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Notes: |
The data is only to be used for non-commercial scientific purposes. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Andreas Bulling, Jamie A. Ward, Hans Gellersen, Gerhard Tröster. 2009. Eye Movement Analysis for Activity Recognition. In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 41-50. |
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Identification Number: |
10.1145/1620545.1620552 |
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Bibliographic Citation: |
Andreas Bulling, Jamie A. Ward, Hans Gellersen, Gerhard Tröster. 2009. Eye Movement Analysis for Activity Recognition. In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 41-50. |
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Citation |
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Title: |
Andreas Bulling, Jamie A. Ward, Hans Gellersen and Gerhard Tröster. 2011. Eye Movement Analysis for Activity Recognition Using Electrooculography. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 33(4), p.741-753. |
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Identification Number: |
10.1109/TPAMI.2010.86 |
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Bibliographic Citation: |
Andreas Bulling, Jamie A. Ward, Hans Gellersen and Gerhard Tröster. 2011. Eye Movement Analysis for Activity Recognition Using Electrooculography. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 33(4), p.741-753. |
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changelog.txt |
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participant1_0.mat |
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README.txt |
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