@article{43909528,
	author  = {  HOŠNA, M.,  MAUTNER, P. Adaption Method for BCI System on Subject. In <i>2010 International Conference on Bioinformatics and Biomedical Technology</i>. New York: IEEE, 2010. s. 164-167. ISBN: 978-1-4244-6776-1 
},
	title   = {Adaption Method for BCI System on Subject},
	journal = {2010 International Conference on Bioinformatics and Biomedical Technology},
	year    = 2010,
	pages   = {164-167},
	note    = {Most of high accuracy BCI systems based upon the evoked potential P300 requires a training session for each subject before it can be used. This paper proposes a method of the adaptation process to improve the accuracy and avoid the training session. The process starts with a universally trained (not trained for a specific subject) classifier. The goal is to develop a classifier optimized for the subject who is using the system. The adaptation strategy includes personalization of the classifier. Results showed that for the electrodes set with 8 electrodes we can obtain a classifier with high accuracy and the process is able to perform the adaptation while the system is being used.}}