Aﬀective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting

Aﬀective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografische gegevens
Hoofdauteurs:	khan, Md. Sakib, Salsabil, Nishal, Amir, Rayeed, Khandaker, Moumita
Andere auteurs:	Alam, Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Aﬀective State recognition Emotion EEG Statistics FFT DCT Poincare Hjorth Parameters SVM XGBoost ID 17101191 ID 18301286 ID 17101428 ID 17101065
Online toegang:	http://hdl.handle.net/10361/15409

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