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.

Bibliografiska uppgifter
Huvudupphovsmän:	khan, Md. Sakib, Salsabil, Nishal, Amir, Rayeed, Khandaker, Moumita
Övriga upphovsmän:	Alam, Golam Rabiul
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2021
Ämnen:	Aﬀective State recognition Emotion EEG Statistics FFT DCT Poincare Hjorth Parameters SVM XGBoost ID 17101191 ID 18301286 ID 17101428 ID 17101065
Länkar:	http://hdl.handle.net/10361/15409

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