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KrishnaVeer7712/DIGITS-CLASSIFICATIONS-USING-ELECTROENCEPHALOGRAPHY-SIGNALS
EEG(electroencephalogram) measures (volts) electrical activity generated by the activity of neurons in the brain. Waves at specific frequency patterns are examined for arriving at results.We are trying to solve the existing problems in the classification of brain signals to digits (09). We aim to classify digits on a standard dataset named “MindBigData”.Our proposed approach is to fit the available models with machine learning methods like LSTM(LongShort-Term-Memory) and SVM(Support Vector Machi
github_krishnaveer7712_digits_classifications_using_electroencephalography_signalsEEG开放
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| 模型 | 任务 | 类型 | Accuracy |
|---|---|---|---|
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任务
Memory论文
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LDARFSVM应用
Cognitive neuroscience research相似数据集
OpenNeuro ds00716965.2 · exact task-category matchIncidental encoding task (Posner Cueing Paradigm)53.0 · exact task-category matchHimanshuIITP/EEG-memory-gen46.0 · exact task match评分构成
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