EEG Based Action Classification
نویسندگان
چکیده
The neurons in the brain show different firing characteristics during different motor actions and also during motor imagery. The present study tries to observe and classify the variation in neural activity during a motor action and its imagination. Electroencephalogram (EEG) signals from 90 different subjects were used for the same. The data included 3 trials – a base case with eyes opened, a motor action task and a motor imagination task. The Event-Related Synchronization and Desynchronizations (ERS and ERD respectively) of brain waves at certain frequencies was analysed. Through this analysis, certain features were extracted and a classifier was attempted to be built. The resultant accuracy obtained was not very impressive but the project gives important indicators for the future direction of the study.
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