Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning
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Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning
MissourisấfUlnrvatí ImiltfeaiKKScholars' MineMasters ThesesStudent Theses and DissertationsFall 2018Classification of EEG signals of user states in ga Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning aming using machine learningChandana MallapragadaFollow this and additional works at: https://scholarsmine.mst.edu/masters_thesesỜ1 Part of the Databases and Information Systems Commons, and the Technology and InnovationCommonsDepartment:Recommended CitationMallapragada, Chandana, ' Classification o Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning f EEG signals of user states in gaming using machine learning' (2018). Masters Theses. 7831.https://scholarsmine.mst edu/masters_theses/7831This thesiLuận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning
s is brought to you by Scholars' Mine, a service of the Missouri S8.T Library and Learning Resources. This work IS protected by u. s. Copyright Lavr. MissourisấfUlnrvatí ImiltfeaiKKScholars' MineMasters ThesesStudent Theses and DissertationsFall 2018Classification of EEG signals of user states in ga Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning arsmine@mst edu.CLASSIFICATION OF EEG SIGNALS OF USER STATES IN GAMING USINGMACHINE LEARNINGbyCHAND ANA MALLAPRAGADAA THESISPresented to the Faculty of the Graduate School of theMISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGYIn Partial Fulfillment of the Requirements for the DegreeMASTER OF SCIENCE IN Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning INFORMATION SCIENCE & TECHNOLOGY2018Approved byDr. Fiona Fui-Hoon Nah. AdvisorDr. Keng Sian Dr. Richard Hall Di. Langtao ChenillABSTRACTIn this reseaLuận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning
rch, brain activity of riser states was analyzed using machine learning algorithms. When a user interacts with a computer-based system including playiMissourisấfUlnrvatí ImiltfeaiKKScholars' MineMasters ThesesStudent Theses and DissertationsFall 2018Classification of EEG signals of user states in ga Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning ine learning models to Electroencephalogram (F.F.G) signals of three user states boredom, flow and anxiety to identify and classify the EEG correlates for these user stales. We focus on three research questions: (i) How well do machine learning models like support vector machine, random forests, mul Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning tinomial logistic regression, and k-nearesr neighbor classify-the three user states - Boredom. Flow, and Anxiety? (11) Can we distinguish the flow staLuận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning
re from other user states using machine learning models? (iii) What are the essential components of EEG signals for classifying the three user states?MissourisấfUlnrvatí ImiltfeaiKKScholars' MineMasters ThesesStudent Theses and DissertationsFall 2018Classification of EEG signals of user states in ga Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning d. An average accuracy of 85 °0 is acliievcd fol classifying the three user stales by using the support V ectoi machuic classifier.Keywords: Neural Correlates. 1 low. Elcclrocnccplialogram. Machine Learning. Support Vector Machine. Random Forests. Multinomial Logistic Regression. k-Nearest Neighbor. Luận văn thạc sĩ classification of EEG signals of user states in gaming using machine learning Minimum Redundancy and Maximum Relevancehttps://khothuvien.cori!IV ACKNOWLEDGMENTSMissourisấfUlnrvatí ImiltfeaiKKScholars' MineMasters ThesesStudent Theses and DissertationsFall 2018Classification of EEG signals of user states in gaMissourisấfUlnrvatí ImiltfeaiKKScholars' MineMasters ThesesStudent Theses and DissertationsFall 2018Classification of EEG signals of user states in gaGọi ngay
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