Osong Medical Innovation Foundation, Korea University Research and Business Foundation

No-Sang Kwak

Seong-Whan Lee

Ji-Hoon Jeong

Seo-Hyun Lee

The present invention relates to a brain-computer interface system and a method for recognizing a conversation intention of a user using the same in addition to inferring the waveform of word sound intended by a user from an imagined speech brainwave associated with a word intended by a user, since the user can intuitively recognize the sentence he/she wants to speak through the imagined speech by classifying words that are most relevant to the imagined speech brainwave of the user in a database in which a word often used by the user or frequently used in a specific situation is stored and by generating a sentence intended by the user by recognizing the words classified in this way, it is possible to perform communication by only thoughts of the user.

Brain-computer interface system and method for recognizing conversation intention of user using the same

Brain-computer interface system and method for decoding user's conversation intention using the same

An exemplary embodiment of the present disclosure provides a method of recognizing, by a controller, an intention of a user who wears a head mounted display to which electroencephalogram electrodes are attached. The method includes obtaining brain signals for learning from each of the head mounted display and an additional electrode device coupled to the head mounted display, in a state where a training image causing brain signals is displayed on the head mounted display; learning a first relational model between electrodes of the head mounted display and electrodes of the additional electrode device using the brain signals for learning; measuring brain signals by the head mounted display decoupled with the additional electrode device, in a state where a specific image is displayed on the head mounted display; estimating brain signals of the additional electrode device non-measured, from the brain signals measured by the head mounted display based on the first relational model; and recognizing a user intention corresponding to the measured brain signals and the estimated brain signals.

Method of recognizing user intention by estimating brain signals, and brain-computer interface apparatus based on head mounted display implementing the method

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Seoul, South Korea

No-Sang Kwak