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      Real-time estimation of horizontal eye-gaze angle using in-ear electrooculography by saccade integration - Dataset

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      S1_Data.zip (119.6Mb)
      Publication date
      2018-01-05
      Creators
      Hladek, Lubos
      Porr, Bernd
      Brimijoin, W. Owen
      Metadata
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      Description
      These are data of the in-ear EOG recordings using 24bit sigma-delta BIO amplifier, eye tracker data, and precomputed data of the algorithm described in the manuscript. The task of five participants was to follow a horizontally varying visual target on a computer screen, while EOG and eye trcaking data were recorded.
      External URI
      • https://rdmc.nottingham.ac.uk/handle/internal/338
      DOI
      • http://doi.org/10.17639/nott.334
      Related publication DOI
      • 10.1371/journal.pone.0190420
      Subjects
      • Eye -- Movements -- Measurement
      • Eye -- Movements -- Research
      • Electrooculography
      • eye tracking, in-ear electrooculography
      Divisions
      • University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Medicine
      Research institutes and centres
      • University of Nottingham, UK Campus::MRC Institute of Hearing Research
      Deposit date
      2018-01-17
      Data type
      EOG recordings, eye tracking data
      Funders
      • Medical Research Council
      • Chief Scientist Office
      • Oticon Foundation
      Grant number
      • MC_UU_00010/4
      • U135097131
      Data collection method
      please see the article
      Resource languages
      • en
      Copyright
      • University of Nottingham
      Publisher
      The University of Nottingham

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