| Detection of Eye Movements based on EEG Signals and the SAX algorithm | |
|---|---|
| 學年 | 107 |
| 學期 | 1 |
| 發表日期 | 2018-08-08 |
| 作品名稱 | Detection of Eye Movements based on EEG Signals and the SAX algorithm |
| 作品名稱（其他語言） | |
| 著者 | Shanmuga Pillai Murutha Muthu; Sian Lun Lau;Chichang Jou |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | International Conference on Intelligent and Interactive Computing 2018 (IIC 2018) |
| 會議地點 | Melaka, Malaysia |
| 摘要 | For patients with disabilities, particularly those with motor disabilities and diculties to interact with computer and devices, Human-Machine Interaction (HMI) research may provide them new ways to solve this problem. In this paper, we propose the Brain-Computer Interface (BCI) approach as a potential technique. The patients may use a portable electroencephalography (EEG) device to give instruction to a computing device via eye movements. Classication algorithms have been investigated in past research to allow detection of eye movement. We would like to investigate another technique, namely the Symbolic Aggregate Approximation (SAX) algorithm, to nd out its suitability and performance against known classication algorithms such as Support Vector Machine (SVM), k-Nearest Neighbour (KNN) and Decision Tree (DT). |
| 關鍵字 | Brain-computer Interface;SAX;Eye movement |
| 語言 | en_US |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20180808~20180809 |
| 通訊作者 | |
| 國別 | MYS |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | NA |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115343 ) |
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