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.
Huvudupphovsmän: | Hossain, Prommy Sultana Ferdawoos, Shaikat, Istiaque Mannafee, George, Fabian Parsia |
---|---|
Övriga upphovsmän: | Uddin, Jia |
Materialtyp: | Lärdomsprov |
Språk: | English |
Publicerad: |
BRAC University
2018
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/10188 |
Liknande verk
-
Optimizing cognitive efficiency of emotiv EPOC and controlling wheelchair through it
av: Chowdhury, Pritom, et al.
Publicerad: (2015) -
Emotion recognition using EEG signal and deep learning approach
av: Islam, Sayedi Hassan Bin, et al.
Publicerad: (2019) -
Classi fication of motor imagery tasks based on BCI paradigm
av: Hossain, Nahid, et al.
Publicerad: (2019) -
Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
av: Rafidul Islam, Sheikh Md, et al.
Publicerad: (2022) -
EEG signals analysis for motor imagery brain computer interface
av: Rahman, La z Maruf, et al.
Publicerad: (2019)