A real-time classification algorithm for EEG-based BCI driven by self-induced emotions

• Published in: Computer methods and programs in biomedicine Vol. 122; no. 3; pp. 293 - 303
• Main Authors: Iacoviello, Daniela, Petracca, Andrea, Spezialetti, Matteo, Placidi, Giuseppe
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier Ireland Ltd 01.12.2015
• Subjects: Adult; Affective computing; Algorithms; BCI; Brain-Computer Interfaces - statistics & numerical data; Classification algorithm; Computer Systems; EEG signals; Electroencephalography; Emotions - physiology; Humans; Internal Medicine; Male; Other; Principal Component Analysis; Principal components analysis; Self-induced emotions; Affective computing; BCI; Classification algorithm; Principal components analysis; EEG signals; Self-induced emotions

The aim of this paper is to provide an efficient, parametric, general, and completely automatic real time classification method of electroencephalography (EEG) signals obtained from self-induced emotions. The particular characteristics of the considered low-amplitude signals (a self-induced emotion...