The scientific knowledge related to emotions has always been limited. In literature it has been already proven the correlation between the emotional indexes of Valence, Arousal and Dominance, which are functions of EEG signals θ, α, β, γ, and emotions. However, in the last years, the research has shown an increasing interest in establishing “emotional” connections between humans and computers and the need for developing reliable and deployable solutions for the detection and evaluation of human emotional states. In fact, recent research has shown how consumer wearable EEG could be used in identifying emotions. In this context, this project aims at understanding if and how the electroencephalography (EEG) can be used to identify emotions.