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.

Библиографические подробности
Главные авторы:	khan, Md. Sakib, Salsabil, Nishal, Amir, Rayeed, Khandaker, Moumita
Другие авторы:	Alam, Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2021
Предметы:	Aﬀective State recognition Emotion EEG Statistics FFT DCT Poincare Hjorth Parameters SVM XGBoost ID 17101191 ID 18301286 ID 17101428 ID 17101065
Online-ссылка:	http://hdl.handle.net/10361/15409

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