EEG-Based Personalized Digital Experience

To make human computer interfaces more immersive and intuitive, a new dimension could be added. Real-time brain state recognition from EEG including emotion recognition and level of concentration recognition would make an access to information more adaptive and personalized. Modern EEG techniques give us an easy and portable way to monitor brain activities by using suitable signal processing and classification methods and algorithms. We proposed a new subject-dependent fractal-based approach to brain state recognition and innovative applications based on EEG-enable user’s interaction. The algorithms of the “inner” brain state quantification including emotion recognition would advance research on human computer interaction bringing the proposed novel objective quantification methods and algorithms as new tools in medical, entertainment, and even digital art methodology applications, and allowing us an integration of the brain state quantification algorithms in the human computer interfaces. In this paper, we describe our fractal-based approach to the brain state recognition and its EEG-enable applications such as serious games, emotional avatar, music therapy, music player, and storytelling.