Abstract: A BCI-based music inferring method according to an embodiment of the present disclosure is a BCI-based music inferring method in which at least part of each operation is performed by a processor, and includes receiving brain signal data of a subject imagining a melody, and estimating a melodic contour of the melody on the basis of the brain signal data.

Abstract: A learning support apparatus according to an embodiment of the present disclosure may include a processor; and a memory electrically connected to the processor and storing at least one code executed by the processor, in which when the memory is executed through the processor, the processor may measure a first brain wave signal in a resting state of a subject, and measures a second brain wave signal in a learning state of test content, determine a learning state measurement index of the subject, determine a learning success criterion of the subject, measure a third brain wave signal of the subject while learning content is provided to the subject, and store a code causing to determine a learning policy for the learning content based on a result of analyzing the third brain wave signal using learning success criterion and the learning state measurement index.

Abstract: A brain-computer interface device and method for controlling the motion of an object is provided. The brain-computer interface device includes a brain wave information processing unit, which receives converted brain wave information including object motion information, extracts object control information including the object motion information from the converted brain wave information, and transmits the extracted object control information to a hybrid control unit, and a hybrid control unit which receives target information including target location information of a target and outputs final object control information obtained by correcting the object control information including the object motion information based on the target information.

Abstract: The present invention provides a brain-computer interface device. The brain-computer interface device may include: a preprocessor for preprocessing a readiness potential signal measured by a brain wave detection device; a noise eliminator for eliminating noise from the preprocessed readiness potential signal; a signal processor for extracting features related to a user's intention by calculating at least one of the intensity of the readiness potential signal from which noise is eliminated, the phase of the readiness potential signal, the place where the readiness potential signal is generated, and the time when the readiness potential signal is generated; and a data classifier for classifying the extracted features to determine the user's intention.