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.

Dettagli Bibliografici
Autori principali: Esha, Ishraq Ahmed, Rahman, Shahrin, Chowdhury, Sayem Kader, Mim, Jannatul Ferdous
Altri autori: Rabiul Alam, Md. Golam
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2023
Soggetti:
Emotion
EEG
Spectrogram
NN
XGBoost
AI
Affective-computing
Human computer interaction
Emotion recognition
Accesso online:http://hdl.handle.net/10361/19477

Accesso online

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

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