User Independency of SSVEP Based Brain Computer Interface Using ANN Classifier: Statistical Approach
作者： Md. Kamrul Hasan , Md. Samiul H. Sunny , Shifat Hossain , Mohiuddin Ahmad
DOI: 10.1007/978-3-319-60663-7_6
关键词:
摘要: BCIs, which elaborated as Brain-computer Interface that use brain responses to control the BCI paradigms. These are measured using Electroencephalographic signal along scalp of subjects. However, less variability EEG from subjects make paradigms user independent. In this research, we simply analyze independency SSVEP based makes a conclusion inter subject’s users. To accomplish research goal, extract both different and stimulation conditions features vector is formed compare each variability. Artificial Neural Network classifier used determine deviation regression vectors. From heatmap classifier, it found means EEG. That ensures independent with high transfer rate bits.
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