Prediction and Fitting of Nonlinear Dynamic Grip Force of the Human Upper Limb Based on Surface Electromyographic Signals

Prediction and Fitting of Nonlinear Dynamic Grip Force of the Human Upper Limb Based on Surface Electromyographic Signals

This study aimed to predict and fit the nonlinear dynamic grip force of the human upper limb using surface electromyographic (sEMG) signals. The research employed a time-series-based neural network, NARX, to establish a mapping relationship between the electromyographic signals of the forearm muscle...

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Bibliographic Details
Main Authors: Zixiang Cai, Mengyao Qu, Mingyang Han, Zhijing Wu, Tong Wu, Mengtong Liu, Hailong Yu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
surface electromyographic signals
nonlinear dynamic grip force
NARX neural network
grip force prediction
Online Access:https://www.mdpi.com/1424-8220/25/1/13
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https://www.mdpi.com/1424-8220/25/1/13

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