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

Internet

http://hdl.handle.net/10361/15409

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