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.

Détails bibliographiques
Auteurs principaux: Esha, Ishraq Ahmed, Rahman, Shahrin, Chowdhury, Sayem Kader, Mim, Jannatul Ferdous
Autres auteurs: Rabiul Alam, Md. Golam
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
Emotion
EEG
Spectrogram
NN
XGBoost
AI
Affective-computing
Human computer interaction
Emotion recognition
Accès en ligne:http://hdl.handle.net/10361/19477

Internet

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

Documents similaires