Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers

Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers

In this paper, we present a preliminary study that proposes to improve surface electromyography (sEMG)-based hand gesture recognition through optimizing parameters and sliding voting classifiers. Targeting the high-performing myoelectric control system, the traditional methods for hand gesture recog...

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Bibliographic Details
Main Authors: Ming Zhang, Shizhao Liu, Xiao Li, Leyi Qu, Bowen Zhuang, Gujing Han
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Electronics
Subjects:
sEMG signal
hand gesture recognition
sliding window
time-domain features
sliding voting classifier
Online Access:https://www.mdpi.com/2079-9292/13/7/1322

Internet

https://www.mdpi.com/2079-9292/13/7/1322

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