Bilgisayar Kullaniminda Göz Saǧli ǧi için Göz Kirpmaya Dayali Uyari Sistemi

Tamerlan Nusraddinov; Hazim Kemal Ekenel

doi:10.1109/TIPTEKNO.2015.7374588

Bilgisayar Kullaniminda Göz Saǧli ǧi için Göz Kirpmaya Dayali Uyari Sistemi

Translated title of the contribution: Eye blink based warning system for eye health while using computers

Tamerlan Nusraddinov, Hazim Kemal Ekenel

Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present a computer vision based real-time warning system to prevent the formation of eye diseases of people working continuously in front of computers. This system takes an image of user sitting in front of the computer by web camera then processes it to determine how often user blinks. The system warns user, if there is not sufficient number of eye blinks for a long time. The general flow of the eye blink based warning system consists of three main steps: face and eye detection, feature extraction of preprocessed eye images, and open-close classification of eye images. The system has attained high performance in the experiments. Moreover, the developed system has been turned into a computer plug-in that can work real-time and is available for practical use.

Translated title of the contribution	Eye blink based warning system for eye health while using computers
Original language	Undefined
Title of host publication	2015 Medical Technologies National Conference, TIPTEKNO 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467377652
DOIs	https://doi.org/10.1109/TIPTEKNO.2015.7374588
State	Published - Jan 6 2016
Event	Medical Technologies National Conference, TIPTEKNO 2015 - Bodrum, Turkey Duration: Oct 15 2015 → Oct 18 2015

Publication series

Name	2015 Medical Technologies National Conference, TIPTEKNO 2015

Conference

Conference	Medical Technologies National Conference, TIPTEKNO 2015
Country/Territory	Turkey
City	Bodrum
Period	10/15/15 → 10/18/15

Keywords

adaboost
computer vision syndrome
eye health
modified census transform

ASJC Scopus subject areas

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

Access to Document

10.1109/TIPTEKNO.2015.7374588

Cite this

Bilgisayar Kullaniminda Göz Saǧli ǧi için Göz Kirpmaya Dayali Uyari Sistemi. / Nusraddinov, Tamerlan; Ekenel, Hazim Kemal.
2015 Medical Technologies National Conference, TIPTEKNO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7374588 (2015 Medical Technologies National Conference, TIPTEKNO 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nusraddinov, T & Ekenel, HK 2016, Bilgisayar Kullaniminda Göz Saǧli ǧi için Göz Kirpmaya Dayali Uyari Sistemi. in 2015 Medical Technologies National Conference, TIPTEKNO 2015., 7374588, 2015 Medical Technologies National Conference, TIPTEKNO 2015, Institute of Electrical and Electronics Engineers Inc., Medical Technologies National Conference, TIPTEKNO 2015, Bodrum, Turkey, 10/15/15. https://doi.org/10.1109/TIPTEKNO.2015.7374588

@inproceedings{aa849e45463641e3be09bc0b4b611419,

title = "Bilgisayar Kullaniminda G{\"o}z Saǧli ǧi i{\c c}in G{\"o}z Kirpmaya Dayali Uyari Sistemi",

abstract = "In this paper, we present a computer vision based real-time warning system to prevent the formation of eye diseases of people working continuously in front of computers. This system takes an image of user sitting in front of the computer by web camera then processes it to determine how often user blinks. The system warns user, if there is not sufficient number of eye blinks for a long time. The general flow of the eye blink based warning system consists of three main steps: face and eye detection, feature extraction of preprocessed eye images, and open-close classification of eye images. The system has attained high performance in the experiments. Moreover, the developed system has been turned into a computer plug-in that can work real-time and is available for practical use.",

keywords = "adaboost, computer vision syndrome, eye health, modified census transform",

author = "Tamerlan Nusraddinov and Ekenel, {Hazim Kemal}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Medical Technologies National Conference, TIPTEKNO 2015 ; Conference date: 15-10-2015 Through 18-10-2015",

year = "2016",

month = jan,

day = "6",

doi = "10.1109/TIPTEKNO.2015.7374588",

language = "Undefined",

series = "2015 Medical Technologies National Conference, TIPTEKNO 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 Medical Technologies National Conference, TIPTEKNO 2015",

}

TY - GEN

T1 - Bilgisayar Kullaniminda Göz Saǧli ǧi için Göz Kirpmaya Dayali Uyari Sistemi

AU - Nusraddinov, Tamerlan

AU - Ekenel, Hazim Kemal

PY - 2016/1/6

Y1 - 2016/1/6

N2 - In this paper, we present a computer vision based real-time warning system to prevent the formation of eye diseases of people working continuously in front of computers. This system takes an image of user sitting in front of the computer by web camera then processes it to determine how often user blinks. The system warns user, if there is not sufficient number of eye blinks for a long time. The general flow of the eye blink based warning system consists of three main steps: face and eye detection, feature extraction of preprocessed eye images, and open-close classification of eye images. The system has attained high performance in the experiments. Moreover, the developed system has been turned into a computer plug-in that can work real-time and is available for practical use.

AB - In this paper, we present a computer vision based real-time warning system to prevent the formation of eye diseases of people working continuously in front of computers. This system takes an image of user sitting in front of the computer by web camera then processes it to determine how often user blinks. The system warns user, if there is not sufficient number of eye blinks for a long time. The general flow of the eye blink based warning system consists of three main steps: face and eye detection, feature extraction of preprocessed eye images, and open-close classification of eye images. The system has attained high performance in the experiments. Moreover, the developed system has been turned into a computer plug-in that can work real-time and is available for practical use.

KW - adaboost

KW - computer vision syndrome

KW - eye health

KW - modified census transform

UR - http://www.scopus.com/inward/record.url?scp=84964240779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964240779&partnerID=8YFLogxK

U2 - 10.1109/TIPTEKNO.2015.7374588

DO - 10.1109/TIPTEKNO.2015.7374588

M3 - Conference contribution

AN - SCOPUS:84964240779

T3 - 2015 Medical Technologies National Conference, TIPTEKNO 2015

BT - 2015 Medical Technologies National Conference, TIPTEKNO 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Medical Technologies National Conference, TIPTEKNO 2015

Y2 - 15 October 2015 through 18 October 2015

ER -

Bilgisayar Kullaniminda Göz Saǧli ǧi için Göz Kirpmaya Dayali Uyari Sistemi

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this