Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri

Computer games can be define as a form of interactive entertainment that played on a personal computer where players must overcome challenges, by taking actions in order to succeed. A large number of computer games are available on market but sufferred on market loss. Many computer games player comp...

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المؤلف الرئيسي:	Muhamad Shukri, Muhamad Nur Adhwa
التنسيق:	أطروحة
اللغة:	English
منشور في:	2017
الموضوعات:	Game theory Instruments and machines Computer software Configuration management Neural networks (Computer science) Algorithms Interactive computer systems
الوصول للمادة أونلاين:	https://ir.uitm.edu.my/id/eprint/69152/1/69152.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

id	my-uitm-ir.69152
record_format	uketd_dc
spelling	my-uitm-ir.691522022-10-31T08:57:55Z Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri 2017 Muhamad Shukri, Muhamad Nur Adhwa Game theory Instruments and machines Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Computer software Configuration management Neural networks (Computer science) Algorithms Interactive computer systems Computer games can be define as a form of interactive entertainment that played on a personal computer where players must overcome challenges, by taking actions in order to succeed. A large number of computer games are available on market but sufferred on market loss. Many computer games player complaints regarding false advertising of computer games because the review, rating, gametags, and footage shown at demo stage, was not representative of the actual product. The idea present in applicationbased regarding how computer game can effect player emotion to support other methodology in marketing sales known as “Emotion Level” to solve the problem. The application has been developed in Python as an in-game application that automatically recognize six basic human emotions, which are anger, disgust, happiness, surprise, fear, and sadness in real time video within a computer game and show the percentage of the emotions at end of the computer game session. The technique used to recognize human emotions is an AdaBoost algorithm as classifier. The usability test are conducted on students in UiTM(T) Kuala Terengganu to make sure the application is meet requirement. This application focusing on developing further implementation of human emotions recognition so that it will be more efficient and effective to be use in the future. In conclusion, this application was developed in order to help computer games player make the best decision before purchasing a computer game on market. The paper discuss a detailed analysis of the project. 2017 Thesis https://ir.uitm.edu.my/id/eprint/69152/ https://ir.uitm.edu.my/id/eprint/69152/1/69152.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Jantan, Hamidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jantan, Hamidah
topic	Game theory Instruments and machines Game theory Game theory Computer software Configuration management Neural networks (Computer science) Algorithms Interactive computer systems
spellingShingle	Game theory Instruments and machines Game theory Game theory Computer software Configuration management Neural networks (Computer science) Algorithms Interactive computer systems Muhamad Shukri, Muhamad Nur Adhwa Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
description	Computer games can be define as a form of interactive entertainment that played on a personal computer where players must overcome challenges, by taking actions in order to succeed. A large number of computer games are available on market but sufferred on market loss. Many computer games player complaints regarding false advertising of computer games because the review, rating, gametags, and footage shown at demo stage, was not representative of the actual product. The idea present in applicationbased regarding how computer game can effect player emotion to support other methodology in marketing sales known as “Emotion Level” to solve the problem. The application has been developed in Python as an in-game application that automatically recognize six basic human emotions, which are anger, disgust, happiness, surprise, fear, and sadness in real time video within a computer game and show the percentage of the emotions at end of the computer game session. The technique used to recognize human emotions is an AdaBoost algorithm as classifier. The usability test are conducted on students in UiTM(T) Kuala Terengganu to make sure the application is meet requirement. This application focusing on developing further implementation of human emotions recognition so that it will be more efficient and effective to be use in the future. In conclusion, this application was developed in order to help computer games player make the best decision before purchasing a computer game on market. The paper discuss a detailed analysis of the project.
format	Thesis
qualification_level	Bachelor degree
author	Muhamad Shukri, Muhamad Nur Adhwa
author_facet	Muhamad Shukri, Muhamad Nur Adhwa
author_sort	Muhamad Shukri, Muhamad Nur Adhwa
title	Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
title_short	Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
title_full	Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
title_fullStr	Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
title_full_unstemmed	Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri
title_sort	human emotion recognition for computer games player using adaboost algorithm / muhamad nur adhwa muhamad shukri
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69152/1/69152.pdf
_version_	1783735850431938560

Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri

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