Research ->Projects, Publications, Software & Datasets, People Software & Datasets -> Eye Movement Biometric Database (EMBD) v2 Eye Movement Biometric Database (EMBD) v2 EMBD.v2 database is composed of 1808 eye movement recordings collected from 227 unique individuals. Database: The database consists of three datasets: Dataset I contains recordings for multiple stimuli (SIM, COM, COG, TEX) from 22 unique individuals on a commercial-grade eye tracker. Dataset II contains recordings for a single stimulus (TEX) from 32 unique individuals on a high-resolution commercial-grade eye tracker. Dataset III contains recordings for multiple stimuli (SIM, COM, RAN, TEX) from 173 unique individuals on an unmodified, low-cost web camera. Stimuli: The simple pattern (SIM) stimulus employed a technique used in eye movement research to evoke a 30° horizontal saccade at regular intervals. The random pattern (RAN) stimulus evoked random-amplitude oblique saccades at regular intervals. The complex pattern (COM) stimulus employed the Rorschach inkblots commonly used in psychological examination. The cognitive pattern (COG) stimulus was based loosely on the idea of visual passwords, with several multi-colored dots displayed on screen. The textual pattern (TEX) stimulus made use of textual excerpts with difficult/nonsensical content, forcing readers to progress slowly through the text. Equipment: The recordings in Dataset I were captured with a Tobii TX300 binocular eye tracker at a sampling rate of 300 Hz. The recordings in Dataset II were captured with an EyeLink 1000 monocular eye tracker at a sampling rate of 1000 Hz. The recordings in Dataset III were captured using monocular video-oculography with a PlayStation Eye camera at a sampling rate of 75 Hz. In all cases, a chin rest was employed to improve stability. Data Quality:
More detailed description for each subset is provided in
Download EMBD.v2 here. If you download the software it is assumed that you agree to the copyright agreement at the bottom of the page. The archive contains readme file that describes in detail the structure and the format of the database. The compressed files have been password protected. Please email Dr. Oleg Komogortsev (
Acknowledgment: Currently this project is funded in part by the NSF CAREER award #CNS-1250718, in part by the NSF GRFP award #DGE- 11444666, in part by the #60NANB12D234 grant from the National Institute of Standards and funds from Texas State University. In the past this project was funded in part by the grant #60NANB10D213 from the National Institute of Standards. COPYRIGHT NOTICE STARTS HERE-------------------------------------------------------------- Copyright
© 2014 The Texas State University Permission is hereby granted, without written agreement and without license or royalty fees, to use this database, provided that the database is cited in the bibliography as:
IN NO EVENT SHALL THE TEXAS STATE UNIVERSITY BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE TEXAS STATE UNIVERSITY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE TEXAS STATE UNIVERSITY SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED ON AN "AS IS" BASIS, AND THE TEXAS STATE UNIVERSITY HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS COPYRIGHT NOTICE ENDS HERE---------------------------------------------------------- |
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