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

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Publication date
2018-01-05
Creators
Hladek, Lubos
Porr, Bernd
Brimijoin, W. Owen
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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.
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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