The method and apparatus for user intention point detection based on multiple brain signals for brain-computer interface system

摘要

The present invention relates to a method for more accurately detecting a user intended viewpoint by classifying and combining features extracted from different types of brain signals, and an apparatus for performing the method, and a user intention viewpoint detection model according to an embodiment of the present invention Is outputting a first classification vector by applying a classifier for a first brain signal among different types of brain signals, and outputting a second classification vector by applying a classifier for a second brain signal among different types of brain signals. , It may be characterized in that learning by applying the first classification vector and the second classification vector to a hybrid classifier.