Figure 2. Emotion recognition using EEG-Classification of Human Emotion from Deap EEG Signal Using Hybrid Improved Neural Networks with Cuckoo Search

<p>This section describes that collection of EEG signals for different emotion recognition<br> experiments. The electroencephalography signals of 32 participants were recorded during one<br> minute videos. Based on that participants are rated in terms of valence and arousal, like/dislike,<br> familiarities and dominance. Emotion related ratings are given based on the online self assessment<br> which is 120 one minute extracted music videos, which are rated by 14-16 volunteers based on<br> arousal and valence. The EEG signals were recorded using 64 electrodes, first 62 electrodes are<br> active electrode, one for reference and remaining one is ground electrode. All the electrodes are<br> placed on the scalp which is made up of the Ag/Ag-Cl. Figure 2 shown in below which is represent<br> the basic EEG signal recording methods and emotion analysis process.</p>