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

Translated title of the contribution: Real-time detection of students' emotional states in the classroom

Ugur Ayvaz^*, Huseyin Guruler

^*Corresponding author for this work

Mugla Sıtkı Kocman University

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

6 Citations (Scopus)

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.

Translated title of the contribution	Real-time detection of students' emotional states in the classroom
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960574
Publication status	Published - 27 Jun 2017
Externally published	Yes
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

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

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Access to Document

10.1109/SIU.2017.7960574

Cite this

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 Article 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",

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doi = "10.1109/SIU.2017.7960574",

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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, Turkey, 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).

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

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

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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

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