Evaluation of the effectiveness of PCA and ICA in improving muscle movement recognition from raw EMG signals
In the last decade, the development of classification models through machine learning for the control of multifunctional prosthetic devices has been increasing. Electromyography (EMG) are recordings produced by muscle fibers naturally when performing movements; if modeled, they could play a more act...
保存先:
主要な著者: | Amezquita Garcia, Jose Alejandro, Bravo Zanoguera, Miguel Enrique, Fabian Natanael |
---|---|
フォーマット: | Online |
言語: | spa |
出版事項: |
Universidad Autónoma de Baja California
2023
|
オンライン・アクセス: | https://recit.uabc.mx/index.php/revista/article/view/318 |
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!
|
類似資料
-
Wheelchair automation using electromyographic signals obtained from facial movements
著者:: García García, Jesús, 等
出版事項: (2023) -
Control of mechanisms through electroencephalographic signals
著者:: Ramírez Arias, Francisco Javier.
出版事項: (2023) -
The Evaluation of the Impact of Training as a Strategy of Improvement in the Organizations
著者:: Tejada Fernández, José, 等
出版事項: (2007) -
Weaknesses of the Quality Evaluation Process in the Spanish University: Causes, Consequences and Proposals for Improvement
著者:: Rodríguez Sabiote, Clemente, 等
出版事項: (2003) -
Affective Recognition and Gamification Applied to Learning Algorithmic Logic and Programming
著者:: Zatarain Cabada, Ramón
出版事項: (2018)