SEMG

作品数：353被引量：1332H指数：17
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TFN-FICFM:sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion
《Journal of Bionic Engineering》2024年第4期1878-1891,共14页Fo Hu Kailun He Mengyuan Qian Mohamed Amin Gouda 
supported in part by the Natural Science Foundation of Zhejiang Province(LQ23F030015);the Key Laboratory of Intelligent Processing Technology for Digital Music(Zhejiang Conservatory of Music),Ministry of Culture and Tourism(2023DMKLC013).
Surface electromyography(sEMG)-based gesture recognition is a key technology in the field of human–computer interaction.However,existing gesture recognition methods face challenges in effectively integrating discrimi...
关键词：Gesture recognition SEMG Deep learning Temporal fusion Fuzzy fusion 
STGNN-LMR:A Spatial–Temporal Graph Neural Network Approach Based on sEMG Lower Limb Motion Recognition
《Journal of Bionic Engineering》2024年第1期256-269,共14页Weifan Mao Bin Ma Zhao Li Jianxing Zhang Yizhou Lu Zhuting Yu Feng Zhang 
Lower limb motion recognition techniques commonly employ Surface Electromyographic Signal(sEMG)as input and apply a machine learning classifier or Back Propagation Neural Network(BPNN)for classification.However,this a...
关键词：Lower limb motion recognition EXOSKELETON sEMG.Graph neural network Noise Sensor failure 
sEMG-Based Lower Limb Motion Prediction Using CNN-LSTM with Improved PCA Optimization Algorithm被引量：8
《Journal of Bionic Engineering》2023年第2期612-627,共16页Meng Zhu Xiaorong Guan Zhong Li Long He Zheng Wang Keshu Cai 
In recent years,sEMG(surface electromyography)signals have been increasingly used to operate wearable devices.The development of mechanical lower limbs or exoskeletons controlled by the nervous system requires greater...
关键词：CNN LSTM EXOSKELETON SEMG Knee trajectory PCA Bionic robot 
Identification of Gesture Based on Combination of Raw sEMG and sEMG Envelope Using Supervised Learning and Univariate Feature Selection被引量：4
《Journal of Bionic Engineering》2019年第4期647-662,共16页Shili Liang Yansheng Wu Jianfei Chen Ling Zhang Peipei Chen Zongqian Chai Chunlei Cao 
In this paper,we propose a novel study for gesture identification using surface electromyography(sEMG)signal,and the raw sEMG signal and the sEMG envelope signal are collected by the sensor at the same time.An efficie...
关键词：GESTURE IDENTIFICATION surface electromyography(sEMG) supervised learning univariate feature selection individual differences 
Grasping Force Estimation by sEMG Signals and Arm Posture: Tensor Decomposition Approach被引量：2
《Journal of Bionic Engineering》2019年第3期455-467,共13页Sanghyun Kim Joowan Kim Mingon Kim Seungyeon Kim Jaeheung Park 
Grasping force estimation using surface Electromyography (sEMG) has been actively investigated as it can increase the manipulability and dexterity of prosthetic hands and robotic hands. Most of the current studies in ...
关键词：surface ELECTROMYOGRAPHY (sEMG) GRASPING FORCE FORCE ESTIMATION tensor decomposition 
Performance of Forearm FMG for Estimating Hand Gestures and Prosthetic Hand Control被引量：2
《Journal of Bionic Engineering》2019年第1期88-98,共11页Nguon Ha Gaminda Pankaja Withanachchi Yimesker Yihun 
This study is aimed at exploring the prediction of the various hand gestures based on Force Myography(FMG)signals generated through piezoelectric sensors banded around the forearm.In the study,the muscles extension an...
关键词：Force Myography(FMG) Surface Electromyography(sEMG) PROSTHETIC hand gesture predictions and CLASSIFICATIONS bionic robot 
Performance of Forearm FMG and sEMG for Estimating Elbow, Forearm and Wrist Positions被引量：3
《Journal of Bionic Engineering》2017年第2期284-295,共12页Zhen Gang Xiao Carlo Menon 
The ability to track upper extremity movement during activity of daily living has the potential to facilitate the recovery of individuals with neurological or physical injuries. Hence, the use of Surface Electromyogra...
关键词：Surface Electromyography （sEMG） Force Myography （FMG） classification limb movement activity monitoring upper extremity 
sEMG Pattern Recognition of Muscle Force of Upper Arm for Intelligent Bionic Limb Control被引量：6
《Journal of Bionic Engineering》2015年第2期316-323,共8页Xu Zhuojun Tian Yantao Li Yang 
Two new feature extraction methods, window sample entropy and window kurtosis, were proposed, which mainly aims to complete the surface Elcctromyography （sEMG）-muscle force pattern recognition for intelligent bionic...
关键词：intelligent bionic limb SEMG muscle force window sample entropy window kurtosis 
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