A survey of deep learning-based classification methods for steady-state visual evoked potentials
Purpose Steady-state visual evoked potential (SSVEP) based BCI has attracted great interests owing to the high information transfer rate (ITR) and little training requirement. The performance of SSVEP-based BCI heavily depends on the classification methods. Deep Learning (DL) technology provides an...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Taylor & Francis Group
2023-12-01
|
| シリーズ: | Brain-Apparatus Communication |
| 主題: | |
| オンライン･アクセス: | http://dx.doi.org/10.1080/27706710.2023.2181102 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|