siddhi5386/Emotion-Recognition-from-brain-EEG-signals-
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model successfully.
Jupyter Notebook
Stargazers
- achalesh27022003@IIITians-Network
- AeronZhang
- ALAHAG
- basharbmeIngenieria Biomedica Arte
- chaklam-silpasuwanchai
- CharmsGrakerChina
- deeplearningdevelop
- dream-ly
- foreverno
- GenerousManZJU
- greee28
- gtLaraStefanini
- haibaoliu
- Han-Xinlong
- hollanderskiDassault Systèmes
- huan232jiangsu
- jiaozhang-bjtu
- jing-ty
- JinnJarBurgerTherap (BD) Ltd.
- KangHyunWookSeoul
- lfb6054
- loyoungBeijing
- mvtta42 Lisbon
- omertascan
- Pal014
- panbo-bridge
- rsakib15Shanghai Jiao Tong University
- ThireshLTU Kaiserslautern
- TURBOtan
- wangxiao-star
- warpcutMilan
- wenXu7
- yuanxiaoheben
- ZhangDongDev
- zhaoxiaomian
- ZSChiao