Classification of Hand Gestures using sEMG Signals and Hilbert-Huang Transform
Author:
Affiliation:
1. Izmir Katip Celebi University,Dept. of Biomedical Eng.,Izmir,Turkey
2. Izmir University of Economics,Dept. of Electrical and Electronics Eng.,Izmir,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909748.pdf?arnumber=9909748
Reference20 articles.
1. Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning
2. Hand gesture classification using time–frequency images and transfer learning based on CNN
3. Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures
4. EMG based Hand Gesture Classification using Empirical Mode Decomposition Time-Series and Deep Learning
5. A New Tool for Nonstationary and Nonlinear Signals: The Hilbert-Huang Transform in Biomedical Applications
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