Publication: ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading
ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading
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Hollenstein, N., Rotsztejn, J., Troendle, M., Pedroni, A., Zhang, C., & Langer, N. (2018). ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading. Scientific Data, 5, 180291. https://doi.org/10.1038/sdata.2018.291
Abstract
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Abstract
We present the Zurich Cognitive Language Processing Corpus (ZuCo), a dataset combining electroencephalography (EEG) and eye-tracking recordings from subjects reading natural sentences. ZuCo includes high-density EEG and eye-tracking data of 12 healthy adult native English speakers, each reading natural English text for 4-6 hours. The recordings span two normal reading tasks and one task-specific reading task, resulting in a dataset that encompasses EEG and eye-tracking data of 21,629 words in 1107 sentences and 154,173 fixations. We b
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- Hollenstein, Nora
- Rotsztejn, Jonathan
- Troendle, Marius
- Pedroni, Andreas
- Zhang, Ce
- Langer, Nicolas
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Hollenstein, N., Rotsztejn, J., Troendle, M., Pedroni, A., Zhang, C., & Langer, N. (2018). ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading. Scientific Data, 5, 180291. https://doi.org/10.1038/sdata.2018.291
