Real-time, simultaneous myoelectric control using a convolutional neural network

Volume: 13, Issue: 9
Published: Sep 13, 2018
Abstract
The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering. In this work, a myoelectric control system based on convolutional neural networks (CNN) is proposed as a possible alternative to traditional approaches that rely on specifically designed features. This CNN-based system is validated using a real-time...
Paper Fields
Paper Details
Title
Real-time, simultaneous myoelectric control using a convolutional neural network
Published Date
Sep 13, 2018
Journal
Volume
13
Issue
9
Citation AnalysisPro
  • 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.