Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi

Ugur Ayvaz; Huseyin Guruler

doi:10.1109/SIU.2017.7960574

Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi

Ugur Ayvaz^*
, Huseyin Guruler

^*Bu çalışma için yazışmadan sorumlu yazar

Mugla Sıtkı Kocman University

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

6 Atıf (Scopus)

Özet

Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. Sometimes, it is insufficient for the educator to observe the emotional states of students. Therefore, an automatic system is needed that can detect and analyze the emotional states of students in the classroom. In this study, an auxiliary information system, which uses image processing and human-computer interaction, has been developed that would be used in the field of education. In this system, the dataset obtained from the students' faces was tested using various machine learning algorithms. As a result, the accuracy of this system was found as 97.15% using support vector machine. This system is aimed to direct the educator to communicate with the students and to increase their motivation when necessary.

Tercüme edilen katkı başlığı	Real-time detection of students' emotional states in the classroom
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960574
Yayın durumu	Yayınlandı - 27 Haz 2017
Harici olarak yayınlandı	Evet
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Türkiye Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

computer vision
emotional state detection
face detection
human-computer interaction
machine learning

Belgeye Erişim

10.1109/SIU.2017.7960574

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ayvaz, U., & Guruler, H. (2017). Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Makale 7960574 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960574

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title = "{\"O}ǧrencilerin Sinif i{\c c}i Duygusal Durumlarinin Ger{\c c}ek Zamanli Tespit Edilmesi",

abstract = "Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. Sometimes, it is insufficient for the educator to observe the emotional states of students. Therefore, an automatic system is needed that can detect and analyze the emotional states of students in the classroom. In this study, an auxiliary information system, which uses image processing and human-computer interaction, has been developed that would be used in the field of education. In this system, the dataset obtained from the students' faces was tested using various machine learning algorithms. As a result, the accuracy of this system was found as 97.15\% using support vector machine. This system is aimed to direct the educator to communicate with the students and to increase their motivation when necessary.",

keywords = "computer vision, emotional state detection, face detection, human-computer interaction, machine learning",

author = "Ugur Ayvaz and Huseyin Guruler",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960574",

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

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

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

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}

Ayvaz, U & Guruler, H 2017, Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960574, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15/05/17. https://doi.org/10.1109/SIU.2017.7960574

Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi. / Ayvaz, Ugur; Guruler, Huseyin.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960574 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

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

TY - GEN

T1 - Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi

AU - Ayvaz, Ugur

AU - Guruler, Huseyin

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. Sometimes, it is insufficient for the educator to observe the emotional states of students. Therefore, an automatic system is needed that can detect and analyze the emotional states of students in the classroom. In this study, an auxiliary information system, which uses image processing and human-computer interaction, has been developed that would be used in the field of education. In this system, the dataset obtained from the students' faces was tested using various machine learning algorithms. As a result, the accuracy of this system was found as 97.15% using support vector machine. This system is aimed to direct the educator to communicate with the students and to increase their motivation when necessary.

AB - Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. Sometimes, it is insufficient for the educator to observe the emotional states of students. Therefore, an automatic system is needed that can detect and analyze the emotional states of students in the classroom. In this study, an auxiliary information system, which uses image processing and human-computer interaction, has been developed that would be used in the field of education. In this system, the dataset obtained from the students' faces was tested using various machine learning algorithms. As a result, the accuracy of this system was found as 97.15% using support vector machine. This system is aimed to direct the educator to communicate with the students and to increase their motivation when necessary.

KW - computer vision

KW - emotional state detection

KW - face detection

KW - human-computer interaction

KW - machine learning

UR - https://www.scopus.com/pages/publications/85026327883

U2 - 10.1109/SIU.2017.7960574

DO - 10.1109/SIU.2017.7960574

M3 - Konferans katkısı

AN - SCOPUS:85026327883

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Öǧrencilerin Sinif içi Duygusal Durumlarinin Gerçek Zamanli Tespit Edilmesi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap