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.
Hoofdauteurs: | Hossain, Prommy Sultana Ferdawoos, Shaikat, Istiaque Mannafee, George, Fabian Parsia |
---|---|
Andere auteurs: | Uddin, Jia |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
BRAC University
2018
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/10188 |
Gelijkaardige items
-
Optimizing cognitive efficiency of emotiv EPOC and controlling wheelchair through it
door: Chowdhury, Pritom, et al.
Gepubliceerd in: (2015) -
Emotion recognition using EEG signal and deep learning approach
door: Islam, Sayedi Hassan Bin, et al.
Gepubliceerd in: (2019) -
Classi fication of motor imagery tasks based on BCI paradigm
door: Hossain, Nahid, et al.
Gepubliceerd in: (2019) -
Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
door: Rafidul Islam, Sheikh Md, et al.
Gepubliceerd in: (2022) -
EEG signals analysis for motor imagery brain computer interface
door: Rahman, La z Maruf, et al.
Gepubliceerd in: (2019)