Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografische gegevens
Hoofdauteurs: Esha, Ishraq Ahmed, Rahman, Shahrin, Chowdhury, Sayem Kader, Mim, Jannatul Ferdous
Andere auteurs: Rabiul Alam, Md. Golam
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Emotion
EEG
Spectrogram
NN
XGBoost
AI
Affective-computing
Human computer interaction
Emotion recognition
Online toegang:http://hdl.handle.net/10361/19477

Internet

http://hdl.handle.net/10361/19477

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