Name
Abstract | ||
|---|---|---|
We propose in this paper an emotional recognition system based on physiological signals. We adopt the seven basic emotions that are: neutrality, joy, sadness, fear, anger, disgust and surprise. An experiment has been conducted to verify the feasibility of the proposed system. This experience has allowed us to acquire EEG signals and to create an emotional database. For this, we have used the Emotiv EPOC headset. Thereafter, we have chosen the fuzzy logic techniques to classify the EEG signals and to analyze the results. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HIS.2013.6920451 | Hybrid Intelligent Systems |
Keywords | Field | DocType |
electroencephalography,emotion recognition,fuzzy logic,medical signal processing,EEG signals,emotion recognition,fuzzy logic techniques,physiological signals,EEG,emotion recognition system,fuzzy logic | Headset,Sadness,Disgust,Fuzzy logic,Emotion classification,Psychology,Speech recognition,Artificial intelligence,Anger,Surprise,Electroencephalography | Conference |
ISBN | Citations | PageRank |
978-1-4799-2438-7 | 4 | 0.49 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hayfa Blaiech | 1 | 4 | 0.49 |
| Mohamed Neji | 2 | 11 | 2.53 |
| Ali Wali | 3 | 82 | 18.46 |
| Mohamed Adel Alimi | 4 | 1947 | 217.16 |