SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy

SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy

Feature extraction, as an important method for extracting useful information from surface electromyography (SEMG), can significantly improve pattern recognition accuracy. Time and frequency analysis methods have been widely used for feature extraction, but these methods analyze SEMG signals only fro...

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Bibliographic Details
Main Authors: Haotian She, Jinying Zhu, Ye Tian, Yanchao Wang, Hiroshi Yokoi, Qiang Huang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
surface emg signal
feature extraction
stockwell transform
hand movement recognition
Online Access:https://www.mdpi.com/1424-8220/19/20/4457

Internet

https://www.mdpi.com/1424-8220/19/20/4457

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