Feature recognition of multi-class imaginary movements in brain-computer interface

Abstract

Feature recognition of multi-class imaginary movements is an important subject of brain-computer interface based on imaginary movement. In this paper, using the method of two-dimensional time-frequency analysis combined with Fisher separability analysis to study multi-channel synchronization, multi-class imaginary movements potential information of typical… (More)
DOI: 10.1109/VECIMS.2009.5068903

Topics

7 Figures and Tables

Slides referencing similar topics