Scopul nostru este sprijinirea şi promovarea cercetării ştiinţifice şi facilitarea comunicării între cercetătorii români din întreaga lume.
Autori: Dzitac I. , Vesselenyi T. , Tarca R. C
Editorial: International Journal of Computers Communications & Control, Special Issue on Fuzzy Sets and Systems , 6(3), p.403-417, 2011.
A Brain-Computer Interface uses measurements of scalp electric potential (electroencephalography – EEG) reflecting brain activity, to commu nicate with external devices. Recent developments in electronics and computer sciences have enabled applications that may help users with disabilities and also to develop new types of Human Machine Interfaces. By producing modifica tions in their brain potential activity, the users can perform control of different devices. In order to perform actions, this EEG signals must be processed with proper algorithms. Our approach is based on a fuzzy inference system used to produce sharp control states from noisy EEG data.
Cuvinte cheie: Event Related Desynchronization (ERD), Brain-Computer Inter- face (BCI), electroencephalography (EEG), fuzzy inference system.