EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI

Translated title of the contribution: Computer based eye-writing system by using EOG

Hesna Özbek Ülkutaş, Metin Yildiz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The aim of this study is to suggest a faster method that would also have better accuracy rate in coding eye movements into characters compared to previously developed by EOG visual writing techniques and to develop a system of computer-based applications that would implement this new method. To this end, several experiments were utilized in order to determine the performance of the observed coding method we propose, with reference to these experiments results; a new method encoding 29 letters and 3 commands (spaces, erase, read) by utilizing only 4 directions with two different angles and four different waiting period is proposed. For implementing proposed new technique, a computer based EOG measurement and inference system is developed. The results of trials with this newly developed system indicate that while the accuracy rate of coding into right characters in the first trial of a text comprised of 180 letters is 92.5%, this accuracy rate of the coding reaches to 100% starting from the fourth trial of the technique. Average writing speed of 16.8 words per minute that is measured with this method is the highest rate that has been achieved among EOG-based systems.

Original languageTurkish
Title of host publication2015 Medical Technologies National Conference, TIPTEKNO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467377652
DOIs
Publication statusPublished - Jan 6 2016
EventMedical Technologies National Conference, TIPTEKNO 2015 - Bodrum, Turkey
Duration: Oct 15 2015Oct 18 2015

Publication series

Name2015 Medical Technologies National Conference, TIPTEKNO 2015

Conference

ConferenceMedical Technologies National Conference, TIPTEKNO 2015
CountryTurkey
CityBodrum
Period10/15/1510/18/15

Fingerprint

Electrooculography
Eye movements
Experiments
Computer Systems
Eye Movements

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Ülkutaş, H. Ö., & Yildiz, M. (2016). EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI. In 2015 Medical Technologies National Conference, TIPTEKNO 2015 [7374580] (2015 Medical Technologies National Conference, TIPTEKNO 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO.2015.7374580

EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI. / Ülkutaş, Hesna Özbek; Yildiz, Metin.

2015 Medical Technologies National Conference, TIPTEKNO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7374580 (2015 Medical Technologies National Conference, TIPTEKNO 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ülkutaş, HÖ & Yildiz, M 2016, EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI. in 2015 Medical Technologies National Conference, TIPTEKNO 2015., 7374580, 2015 Medical Technologies National Conference, TIPTEKNO 2015, Institute of Electrical and Electronics Engineers Inc., Bodrum, Turkey, 10/15/15. https://doi.org/10.1109/TIPTEKNO.2015.7374580
Ülkutaş HÖ, Yildiz M. EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI. In 2015 Medical Technologies National Conference, TIPTEKNO 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7374580. (2015 Medical Technologies National Conference, TIPTEKNO 2015). https://doi.org/10.1109/TIPTEKNO.2015.7374580
Ülkutaş, Hesna Özbek ; Yildiz, Metin. / EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI. 2015 Medical Technologies National Conference, TIPTEKNO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. (2015 Medical Technologies National Conference, TIPTEKNO 2015).
@inproceedings{1b726dfe3f5f4727958ae6d08afd9f47,
title = "EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI G{\"O}ZLE YAZI YAZMA SISTEMI",
abstract = "The aim of this study is to suggest a faster method that would also have better accuracy rate in coding eye movements into characters compared to previously developed by EOG visual writing techniques and to develop a system of computer-based applications that would implement this new method. To this end, several experiments were utilized in order to determine the performance of the observed coding method we propose, with reference to these experiments results; a new method encoding 29 letters and 3 commands (spaces, erase, read) by utilizing only 4 directions with two different angles and four different waiting period is proposed. For implementing proposed new technique, a computer based EOG measurement and inference system is developed. The results of trials with this newly developed system indicate that while the accuracy rate of coding into right characters in the first trial of a text comprised of 180 letters is 92.5{\%}, this accuracy rate of the coding reaches to 100{\%} starting from the fourth trial of the technique. Average writing speed of 16.8 words per minute that is measured with this method is the highest rate that has been achieved among EOG-based systems.",
author = "{\"U}lkutaş, {Hesna {\"O}zbek} and Metin Yildiz",
year = "2016",
month = "1",
day = "6",
doi = "10.1109/TIPTEKNO.2015.7374580",
language = "Turkish",
series = "2015 Medical Technologies National Conference, TIPTEKNO 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 Medical Technologies National Conference, TIPTEKNO 2015",
address = "United States",

}

TY - GEN

T1 - EOG'NIN KODLANMASINA DAYANAN BILGISAYAR TABANLI GÖZLE YAZI YAZMA SISTEMI

AU - Ülkutaş, Hesna Özbek

AU - Yildiz, Metin

PY - 2016/1/6

Y1 - 2016/1/6

N2 - The aim of this study is to suggest a faster method that would also have better accuracy rate in coding eye movements into characters compared to previously developed by EOG visual writing techniques and to develop a system of computer-based applications that would implement this new method. To this end, several experiments were utilized in order to determine the performance of the observed coding method we propose, with reference to these experiments results; a new method encoding 29 letters and 3 commands (spaces, erase, read) by utilizing only 4 directions with two different angles and four different waiting period is proposed. For implementing proposed new technique, a computer based EOG measurement and inference system is developed. The results of trials with this newly developed system indicate that while the accuracy rate of coding into right characters in the first trial of a text comprised of 180 letters is 92.5%, this accuracy rate of the coding reaches to 100% starting from the fourth trial of the technique. Average writing speed of 16.8 words per minute that is measured with this method is the highest rate that has been achieved among EOG-based systems.

AB - The aim of this study is to suggest a faster method that would also have better accuracy rate in coding eye movements into characters compared to previously developed by EOG visual writing techniques and to develop a system of computer-based applications that would implement this new method. To this end, several experiments were utilized in order to determine the performance of the observed coding method we propose, with reference to these experiments results; a new method encoding 29 letters and 3 commands (spaces, erase, read) by utilizing only 4 directions with two different angles and four different waiting period is proposed. For implementing proposed new technique, a computer based EOG measurement and inference system is developed. The results of trials with this newly developed system indicate that while the accuracy rate of coding into right characters in the first trial of a text comprised of 180 letters is 92.5%, this accuracy rate of the coding reaches to 100% starting from the fourth trial of the technique. Average writing speed of 16.8 words per minute that is measured with this method is the highest rate that has been achieved among EOG-based systems.

UR - http://www.scopus.com/inward/record.url?scp=84964211481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964211481&partnerID=8YFLogxK

U2 - 10.1109/TIPTEKNO.2015.7374580

DO - 10.1109/TIPTEKNO.2015.7374580

M3 - Conference contribution

T3 - 2015 Medical Technologies National Conference, TIPTEKNO 2015

BT - 2015 Medical Technologies National Conference, TIPTEKNO 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -