ParaInfia-An infotainment System for semi-paralyzed using Electroencephalogram

Abstract

With the advent of social media the variety of digital media is growing exponentially. One of the purposes of media is to introduce a sense of joy among users. Multimedia customization and recommendations depend on emotional traits of the content a user is watching. The levels of media enjoyment of a normal person are usually extracted using various surveys or feedback gathering. Enjoyment level varies from an individual to another, the presence of techniques for gathering this kind of feedback from paralyzed will make a breakthrough in media content feedback of such people. In this paper, EEG data is acquired from Neurosky Mindwave headset. The data is then transformed to frequency domain using Fourier transform and various feature extraction steps are performed. Enjoyment level is divided into four levels based on the attention of the user. Finally, an attempt is made to draw a conclusion from the achieved result that this enjoyment level detection mechanism can be integrated with a web application which can help paralyzed people customize their choices of media they are interested in watching.