Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Autores principales: | Hossain, Prommy Sultana Ferdawoos, Shaikat, Istiaque Mannafee, George, Fabian Parsia |
---|---|
Otros Autores: | Uddin, Jia |
Formato: | Tesis |
Lenguaje: | English |
Publicado: |
BRAC University
2018
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/10188 |
Ejemplares similares
-
Optimizing cognitive efficiency of emotiv EPOC and controlling wheelchair through it
por: Chowdhury, Pritom, et al.
Publicado: (2015) -
Emotion recognition using EEG signal and deep learning approach
por: Islam, Sayedi Hassan Bin, et al.
Publicado: (2019) -
Classi fication of motor imagery tasks based on BCI paradigm
por: Hossain, Nahid, et al.
Publicado: (2019) -
Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
por: Rafidul Islam, Sheikh Md, et al.
Publicado: (2022) -
EEG signals analysis for motor imagery brain computer interface
por: Rahman, La z Maruf, et al.
Publicado: (2019)