Title :
Emotion recognition by analysis of EEG signals
Author :
Blaiech, Hayfa ; Neji, Mohamed ; Wali, Ali ; Alimi, Adel M.
Author_Institution :
Res. Groups on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
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.
Keywords :
electroencephalography; emotion recognition; fuzzy logic; medical signal processing; EEG signals; emotion recognition; fuzzy logic techniques; physiological signals; Databases; Electroencephalography; Standards; EEG; emotion recognition system; fuzzy logic;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2013 13th International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-1-4799-2438-7
DOI :
10.1109/HIS.2013.6920451
