Original paper
Influence of Different Feature Selection Methods on EMG Pattern Recognition
Published: Aug 1, 2019
Abstract
Feature extraction is an important method in electromyography (EMG) pattern recognition. High-dimensional EMG features vector lead to redundancy of features. Redundancy of features results in a decrease in classification accuracy of EMG pattern recognition and an increase in computation time for classifier to classify the pattern of EMG signal. Many researchers used feature selection method to decrease the redundancy of features. Sequential...
Paper Details
Title
Influence of Different Feature Selection Methods on EMG Pattern Recognition
Published Date
Aug 1, 2019
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History