sEMG-Based Hand Posture Recognition Considering Electrode Shift, Feature Vectors, and Posture Groups

sEMG-Based Hand Posture Recognition Considering Electrode Shift, Feature Vectors, and Posture Groups

Surface electromyography (sEMG)-based gesture recognition systems provide the intuitive and accurate recognition of various gestures in human-computer interaction. In this study, an sEMG-based hand posture recognition algorithm was developed, considering three main problems: electrode shift, feature...

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Bibliographic Details
Main Authors: Jongman Kim, Bummo Koo, Yejin Nam, Youngho Kim
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
surface electromyography
pattern recognition
artificial neural network
electrode shift
hand posture
feature vector
Online Access:https://www.mdpi.com/1424-8220/21/22/7681

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