Abstract
Brain-computer interface (BCI) allows people to send commands to computer and communicate with outside world without any physical activities. N100-P300 Speller is a spelling BCI system that utilizes two kinds of event-related potential (ERP), N100 and P300. This system achieved higher accuracy and information transfer rate (ITR) compared with P300 Speller (Sato H, Washizawa Y, N100-P300 speller BCI with detection of user’s input intention. In: Proceedings of 6th international brain-computer interface conference 43, 2014). Since N100-P300 Speller requires nine visual stimulations to input one command, it is necessary to boost the classification accuracy or reduce the flashing intervals in order to improve ITR. The present study aims to improve ITR by an asynchronous stimulation method in N100-P300 Speller. The result showed that ITR in the proposed method was improved 0.15 bit/s at an average compared with the conventional N100-P300 Speller. The proposed N100-P300 Speller achieved faster spelling system with lower burden for the user.
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Morita, N., Washizawa, Y. (2018). Asynchronous Stimulation Method for N100-P300 Speller. In: Delgado-García, J., Pan, X., Sánchez-Campusano, R., Wang, R. (eds) Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_22
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DOI: https://doi.org/10.1007/978-981-10-8854-4_22
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