Komogortsev Oleg's Web Page

EMBD.v1 database is composed of 358 eye movement recordings collected from 59 unique individuals.

Database: The database consists of three datasets: Dataset I contains the response to the horizontal and vertical step-stimulus from 27 unique individuals. The recordings are done twice for each individual within a course of a single day. Dataset II contains the response to the horizontal (different amplitude than in Dataset I) and vertical step-stimulus from 32 unique individuals. The recordings are done twice for each individual within a course of a single day. Dataset III consists of recordings for same individuals as Dataset II, but the presented stimulus was text. The recordings were done four times for each individual. The first two recordings for each subject were conducted during the same day, two more recording were conducted one week later during a single day.

Equipment: All recordings are captured by an Eye Link 1000 eye tracker at the sampling rate of 1000Hz. Chin rest is employed to stabilize subjects' heads during the recording.

Data quality: average calibration error prior to each recording is 1.1 degrees of the visual angle (SD=1.25), average dataloss during a recording 3.59% (SD=0.05%). Average behavioral scores as defined in Komogortsev et al. (2010) when the raw eye positional data is separated into the fixations and saccades by the I-VT algorithm with a threshold of 70º/s are: SQnS=108% (SD=50%), FQnS=58% (SD=14.7%), and the FQlS=0.95º (SD=0.42º).

C. Holland, and O. V. Komogortsev, Biometric Identification via Eye Movement Scanpaths in Reading, In Proceedings of the IEEE International Joint Conference on Biometrics (IJCB), 2011, pp. 1-8. [.pdf](please cite this paper if Dataset III is used)

Download EMBD.v1 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. An excel file is provided that details calibration accuracy prior to each recording in the database.

The compressed files have been password protected. Please email Dr. Oleg Komogortsev ( mail

) for the password. Kindly indicate your university/industry affiliation and a brief description of how you plan to use the software. Please use words "EMBD" in the subject line.

Acknowledgment: Special thanks are expressed to Dr. Alex Karpov for the preparation of this database. 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.

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