Abstract-The development of asynchronous brain-computer interface （BCI） based on motor imagery （M1） poses the research in algorithms for detecting the nontask states （i.e., idle state） and the design of continuo...Abstract-The development of asynchronous brain-computer interface （BCI） based on motor imagery （M1） poses the research in algorithms for detecting the nontask states （i.e., idle state） and the design of continuous classifiers that classify continuously incoming electroencephalogram （EEG） samples. An algorithm is proposed in this paper which integrates two two-class classifiers to detect idle state and utilizes a sliding window to achieve continuous outputs. The common spatial pattern （CSP） algorithm is used to extract features of EEG signals and the linear support vector machine （SVM） is utilized to serve as classifier. The algorithm is applied on dataset IVb of BCI competition Ⅲ, with a resulting mean square error of 0.66. The result indicates that the proposed algorithm is feasible in the first step of the development of asynchronous systems.展开更多
China will expand and improve existing policies on retail imports and exports via cross-border e-commerce to widen opening-up and unlock the potential of consumption,the State Council’s executive meeting chaired by P...China will expand and improve existing policies on retail imports and exports via cross-border e-commerce to widen opening-up and unlock the potential of consumption,the State Council’s executive meeting chaired by Premier Li Keqiang decided recently.展开更多
Since the founding of New China in 1949, according to the Constitution of the People＇s Republic of China, the central government has made it a basic state policy to help ethnic minorities-inhabited border areas with ...Since the founding of New China in 1949, according to the Constitution of the People＇s Republic of China, the central government has made it a basic state policy to help ethnic minorities-inhabited border areas with their political, economic and cultural development, and to lead all the ethnic groups of China onto the road to common prosperity.展开更多
基金supported by the National Natural Science Foundation of China under Grant No. 30525030, 60736029, 60701015, and 30870655.
文摘Abstract-The development of asynchronous brain-computer interface （BCI） based on motor imagery （M1） poses the research in algorithms for detecting the nontask states （i.e., idle state） and the design of continuous classifiers that classify continuously incoming electroencephalogram （EEG） samples. An algorithm is proposed in this paper which integrates two two-class classifiers to detect idle state and utilizes a sliding window to achieve continuous outputs. The common spatial pattern （CSP） algorithm is used to extract features of EEG signals and the linear support vector machine （SVM） is utilized to serve as classifier. The algorithm is applied on dataset IVb of BCI competition Ⅲ, with a resulting mean square error of 0.66. The result indicates that the proposed algorithm is feasible in the first step of the development of asynchronous systems.
文摘China will expand and improve existing policies on retail imports and exports via cross-border e-commerce to widen opening-up and unlock the potential of consumption,the State Council’s executive meeting chaired by Premier Li Keqiang decided recently.
文摘Since the founding of New China in 1949, according to the Constitution of the People＇s Republic of China, the central government has made it a basic state policy to help ethnic minorities-inhabited border areas with their political, economic and cultural development, and to lead all the ethnic groups of China onto the road to common prosperity.
