摘要
Brain computer interface is used for human and machine learning analysis. This paper represents the EEG datasets that are built with different cognitive task such as left, right, back and front imaginary movement with eye open. We have used different feature extraction method to classify these EEG signal using Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Artificial Neural Network (ANN). All these methods are compared with other work that have done with other datasets. The proposed work is obtained 95.21% accuracy 98.95% sensitivity for SVM and k-NN is 90.88% and ANN is 94.31%. The performance results have shown higher enough than all others.
原文 | 英語 |
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主出版物標題 | 2016 3rd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2016 |
發行者 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(電子) | 9781509029068 |
DOIs | |
出版狀態 | 已發佈 - 3月 6 2017 |
事件 | 3rd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2016 - Dhaka, 孟加拉国 持續時間: 9月 22 2016 → 9月 24 2016 |
其他
其他 | 3rd International Conference on Electrical Engineering and Information and Communication Technology, iCEEiCT 2016 |
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國家/地區 | 孟加拉国 |
城市 | Dhaka |
期間 | 9/22/16 → 9/24/16 |
ASJC Scopus subject areas
- 電腦網路與通信
- 電腦科學應用
- 人機介面
- 訊號處理
- 電氣與電子工程