Behavior change analysis due to violent video gaming using deep learning models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografiset tiedot
Päätekijät:	Rahman, Akhlak Ur, Raj, Fahad Khan, Afnan, Monthasir Delwar, Rahad, Rakib Hasan, Ahmed, Md. Samir Uddin
Muut tekijät:	Rhaman, Md. Khalilur
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Deep learning Speech emotion recognition Facial expression recognition Behavior analysis Machine learning Video games Human-computer interaction Emotions > Computer simulation Deep learning (Machine learning)
Linkit:	http://hdl.handle.net/10361/22856

id	10361-22856
record_format	dspace
spelling	10361-228562024-05-19T21:03:51Z Behavior change analysis due to violent video gaming using deep learning models Rahman, Akhlak Ur Raj, Fahad Khan Afnan, Monthasir Delwar Rahad, Rakib Hasan Ahmed, Md. Samir Uddin Rhaman, Md. Khalilur Arko, Sayantan Roy Department of Computer Science and Engineering, Brac University Deep learning Speech emotion recognition Facial expression recognition Behavior analysis Machine learning Video games Human-computer interaction Emotions--Computer simulation Deep learning (Machine learning) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 54-58). In the 21st century, technology has advanced at such a wondrous rate that people resort to this developed medium to carry out most of their tasks, from household chores to daily necessities and almost everything else. People of almost all ages resort to technology to pass their leisure time, and gaming is prevalent among everyone. However, this gaming behavior, whether in online, multiplayer, or single player mode, has significant behavioral changes, both negatively and positively. A significant amount of research was conducted from the early stage of video gaming. After the development of machine learning and deep learning, these techniques were used to predict emotions. Employing a unique approach, a vast amount of YouTube videos were collected from different online gaming streamers and then image and audio datasets comprising hundreds of those videos immersed in these intense gaming sessions were created. By using Facial Expression Recognition (FER) and Speech Emotion Recognition (SER) techniques, an approach was made to find a pattern of behavior change during gaming and over time. For FER, various models were used. Also, different models for SER were used. Some of the best models were used to perform prediction on the image and audio data that we had extracted from the videos. This research contributes significant insights into a player’s emotional change while playing video games. Akhlak Ur Rahman Fahad Khan Raj Monthasir Delwar Afnan Rakib Hasan Rahad Md. Samir Uddin Ahmed B.Sc in Computer Science 2024-05-19T03:01:01Z 2024-05-19T03:01:01Z ©2024 2024-02 Thesis ID: 20101422 ID: 20101250 ID: 20101247 ID: 20101010 ID: 20101520 http://hdl.handle.net/10361/22856 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 68 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Deep learning Speech emotion recognition Facial expression recognition Behavior analysis Machine learning Video games Human-computer interaction Emotions--Computer simulation Deep learning (Machine learning)
spellingShingle	Deep learning Speech emotion recognition Facial expression recognition Behavior analysis Machine learning Video games Human-computer interaction Emotions--Computer simulation Deep learning (Machine learning) Rahman, Akhlak Ur Raj, Fahad Khan Afnan, Monthasir Delwar Rahad, Rakib Hasan Ahmed, Md. Samir Uddin Behavior change analysis due to violent video gaming using deep learning models
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
author2	Rhaman, Md. Khalilur
author_facet	Rhaman, Md. Khalilur Rahman, Akhlak Ur Raj, Fahad Khan Afnan, Monthasir Delwar Rahad, Rakib Hasan Ahmed, Md. Samir Uddin
format	Thesis
author	Rahman, Akhlak Ur Raj, Fahad Khan Afnan, Monthasir Delwar Rahad, Rakib Hasan Ahmed, Md. Samir Uddin
author_sort	Rahman, Akhlak Ur
title	Behavior change analysis due to violent video gaming using deep learning models
title_short	Behavior change analysis due to violent video gaming using deep learning models
title_full	Behavior change analysis due to violent video gaming using deep learning models
title_fullStr	Behavior change analysis due to violent video gaming using deep learning models
title_full_unstemmed	Behavior change analysis due to violent video gaming using deep learning models
title_sort	behavior change analysis due to violent video gaming using deep learning models
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/22856
work_keys_str_mv	AT rahmanakhlakur behaviorchangeanalysisduetoviolentvideogamingusingdeeplearningmodels AT rajfahadkhan behaviorchangeanalysisduetoviolentvideogamingusingdeeplearningmodels AT afnanmonthasirdelwar behaviorchangeanalysisduetoviolentvideogamingusingdeeplearningmodels AT rahadrakibhasan behaviorchangeanalysisduetoviolentvideogamingusingdeeplearningmodels AT ahmedmdsamiruddin behaviorchangeanalysisduetoviolentvideogamingusingdeeplearningmodels
_version_	1814308994806710272

Behavior change analysis due to violent video gaming using deep learning models

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