BRAIN-COMPUTER INTERFACE APPARATUS AND OPERATING METHOD OF DETERMINING INTENTION OF USER BASED ON BRAIN ACTIVITY ACCORDING TO ATTENTION LEVEL

摘要

The present invention relates to a technical idea for judging a user's motion intention with high reliability based on brain activity according to a concentration level, and more specifically, an EEG signal of a user performing motor imagery for a specific motion. To a technology for improving classification performance related to user intention classification by extracting feature points of EEG signals in a focused state by analyzing the waveform characteristics of and machine learning the feature points of EEG signals in a focused state The brain computer interface device for determining the user's intention based on the brain activity according to the concentration level according to Concentration determination unit for determining the concentration of the user in a non-concentration state, and machine learning the EEG signal corresponding to the concentration state to build an intention determination model, and to determine the user's intention using the constructed intention determination model It may include an EEG processing unit.