title: Identification and Classification for finger movement based on EEG.
abstract: Identification and classification technology plays an important part in study of the BCI system. There are many algorithms to classify the event of different task related. Here, finger movement was used as the basic and typical tasks to be identified in the BCI experiments. The ideas of BP and ERD were introduced and discussed. The CSSD (common spatial subspace decomposition) algorithm was used for classifying single-trial EEG during the preparation of left-right finger movements after the two kinds of phenomena were expounded in detail in this paper. Experiment and simulating results show that the averaged classification accuracy can be up to the 75.6%.
authors.affiliation: College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China; School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
authors.forename: Boqiang
authors.initials: B
authors.lastname: Liu
authors.forename: Zhongguo
authors.initials: Z
authors.lastname: Liu
authors.forename: Mingshi
authors.initials: M
authors.lastname: Wang
authors.forename: Tonglei
authors.initials: T
authors.lastname: Li