@article{oai:nagoya.repo.nii.ac.jp:00018758, author = {Yokoi, Takanori and Yoshikawa, Tomohiro and Furuhashi, Takeshi}, journal = {2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS)}, month = {Nov}, note = {The P300 speller is one of the BCI applications, which allows users to select letters just by thoughts. However, due to the difference of P300 in each person and with the passage of time, users are required to do machine learning every time before use (pre-training). This pre-training is a burden to users. This paper proposes an incremental learning using unknown data to reduce the training time. Consequently, this paper shows that the proposed method gives not only the reduction of the training time but also directly use of P300 speller without pre-training by using the data of last time., 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS) (SCIS-ISIS 2012). November 20-24, 2012, Kobe, Japan}, pages = {167--170}, title = {Incremental learning to reduce the burden of machine learning for P300 speller}, year = {2012} }