Brain Computer Interface by Use of Single Trial EEG on Recalling of Several Images

Author(s):  
Takahiro Yamanoi ◽  
Hisashi Toyoshima ◽  
Mika Otsuki ◽  
Shin-ichi Ohnishi ◽  
Toshimasa Yamazaki ◽  
...  
2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Tao Geng ◽  
John Q. Gan ◽  
Matthew Dyson ◽  
Chun SL Tsui ◽  
Francisco Sepulveda

A novel 4-class single-trial brain computer interface (BCI) based on two (rather than four or more) binary linear discriminant analysis (LDA) classifiers is proposed, which is called a “parallel BCI.” Unlike other BCIs where mental tasks are executed and classified in a serial way one after another, the parallel BCI uses properly designed parallel mental tasks that are executed on both sides of the subject body simultaneously, which is the main novelty of the BCI paradigm used in our experiments. Each of the two binary classifiers only classifies the mental tasks executed on one side of the subject body, and the results of the two binary classifiers are combined to give the result of the 4-class BCI. Data was recorded in experiments with both real movement and motor imagery in 3 able-bodied subjects. Artifacts were not detected or removed. Offline analysis has shown that, in some subjects, the parallel BCI can generate a higher accuracy than a conventional 4-class BCI, although both of them have used the same feature selection and classification algorithms.


2012 ◽  
Vol 16 (4) ◽  
pp. 311-314
Author(s):  
Keisuke Tawada ◽  
Yasue Mitsukura

2020 ◽  
Vol 56 (25) ◽  
pp. 1392-1395
Author(s):  
P. Shukla ◽  
R. Chaurasiya ◽  
S. Verma

2020 ◽  
Vol 34 (4) ◽  
pp. 214
Author(s):  
Wei Zhuang ◽  
Yixian Shen ◽  
Lu Li ◽  
Chunming Gao ◽  
Dong Dai

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