A REAL-TIME FRACTAL-BASED BRAIN STATE RECOGNITION FROM EEG AND ITS APPLICATIONS

Abstract

EEG-based immersion is a new direction in research and development on human computer interfaces. It has attracted recently more attention from the research community and industry as wireless EEG reading devices became easily available on the market. EEG-based technology has been applied in anaesthesiology, psychology, serious games or even in marketing. As EEG signal is considered to have a fractal nature, we proposed and developed a novel spatio-temporal fractal based approach to the brain state quantification. The real-time algorithms of emotion recognition and concentration level recognition were implemented and integrated in human-computer interfaces of EEG-enable applications. In this paper, EEG-based “serious” games for concentration training and emotion-enable applications including emotion-based music therapy on the Web were proposed and implemented.