Real-time estimation of horizontal eye-gaze angle using in-ear electrooculography by saccade integration - Dataset
Publication Date
January 17, 2018
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.
Associate publ. DOI
Subjects
Divisions
University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Medicine
Data type
EOG recordings, eye tracking data
Funders
Funders
Chief Scientist Office
Oticon Foundation
Grant Number
MC_UU_00010/4
U135097131
Data collection method
please see the article
Resource languages
English
Publisher
The University of Nottingham
Date Issued
January 5, 2018
File(s)![Thumbnail Image]()
Name
S1_Data.zip
Size
119.62 MB
Format
Unknown
Checksum (MD5)
55e1710356a5f065c04a27ac69c5d26a