A study on asynchronous system in P300 speller based on user´s intention of input

P300 speller is the communication tool based on Brain Computer Interfaces (BCIs) which allow users to input letters only by thoughts. It uses P300, one of the event-related potential (ERP), as the target feature. In P300 speller, another person starts and closes the system. Therefore, a user cannot switch P300 speller ON/OFF by himself/herself. To solve this problem, an asynchronous P300 speller which can control ON/OFF based on the user´s intention of input is needed. In recent years, the intention classification method with additional pre-training has been proposed. In the additional pre-training, the classifier trains non-control state data which is recorded when the user does not input. However, the additional pre-training causes another burden and usage restrictions. In this paper, we propose and study an intention classification method using only training data in which a user inputs letters and an asynchronous system in P300 speller based on the user´s intention of input.