BRAIN-COMPUTER INTERFACE APPARATUS AND OPERATING METHOD OF SELECTING CUSTOMIZED MEASUREMENT CHANNEL BY CONSIDERING USER INTENTION

摘要

The present invention relates to a brain computer interface device for customarily selecting a measurement channel in consideration of user intention. Classifying user intention by analyzing time domain parameter (TDP) characteristics of an electroencephalography (EEG) signal The present invention relates to a technology for improving the user's convenience of use of a brain computer interface technology according to a customized selection of a minimum measurement channel for As a device to select as, an EEG measuring unit for measuring EEG signals for each of the plurality of measurement portions using a plurality of measurement channels corresponding to a plurality of measurement electrodes attached to the plurality of measurement portions of the user, to the EEG signals extracts a plurality of time domain parameters for the time domain parameters, determines an average information gain of the plurality of time domain parameters, and selects at least one measurement channel among the plurality of measurement channels based on the determined average information gain It may include a channel selection unit to select and an EEG processing unit for classifying a user intention by machine learning the classified EEG signal measured through the selected at least one measurement channel.