@article{oai:nagoya.repo.nii.ac.jp:00018620,
 author = {Kawai, Kohei and Yoshikawa, Tomohiro and Furuhashi, Takeshi},
 journal = {2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
 month = {Jul},
 note = {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., 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing International Convention Center, Beijing, China (WCCI 2014)},
 pages = {3693--3696},
 title = {A Study on Asynchronous System in P300 Speller based on User’s Intention of Input},
 year = {2014}
}