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

Tamerlan Nusraddinov
, Hazim Kemal Ekenel

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Tercüme edilen katkı başlığı	Eye blink based warning system for eye health while using computers
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2015 Medical Technologies National Conference, TIPTEKNO 2015
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467377652
DOI'lar	https://doi.org/10.1109/TIPTEKNO.2015.7374588
Yayın durumu	Yayınlandı - 6 Oca 2016
Etkinlik	Medical Technologies National Conference, TIPTEKNO 2015 - Bodrum, Turkey Süre: 15 Eki 2015 → 18 Eki 2015

Yayın serisi

Adı	2015 Medical Technologies National Conference, TIPTEKNO 2015

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Medical Technologies National Conference, TIPTEKNO 2015
Ülke/Bölge	Turkey
Şehir	Bodrum
Periyot	15/10/15 → 18/10/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Keywords

adaboost
computer vision syndrome
eye health
modified census transform

Belgeye Erişim

10.1109/TIPTEKNO.2015.7374588

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{3074cd51906347fe84fc46f6e222bfb3,

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 = "T{\"u}rk{\c c}e",

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",

}

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, 15/10/15. https://doi.org/10.1109/TIPTEKNO.2015.7374588

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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 - https://www.scopus.com/pages/publications/84964240779

U2 - 10.1109/TIPTEKNO.2015.7374588

DO - 10.1109/TIPTEKNO.2015.7374588

M3 - Konferans katkısı

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap