ロード中...
High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network
High-density surface electromyography (HD-sEMG) and deep learning technology are becoming increasingly used in gesture recognition. Based on electrode grid data, information can be extracted in the form of images that are generated with instant values of multi-channel sEMG signals. In previous studi...
保存先:
| 出版年: | Sensors (Basel) |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7070985/ https://ncbi.nlm.nih.gov/pubmed/32098264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20041201 |
| タグ: |
タグ追加
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!
|