Research on Multimodal Fusion Recognition Method of Upper Limb Motion Patterns-Reference-Cited by-同舟云学术

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Research on Multimodal Fusion Recognition Method of Upper Limb Motion Patterns

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Wendong¹^ORCID,Zhao Chengzhi¹^ORCID,Li Xin¹^ORCID,Zhang Zhi-Qiang²^ORCID,Yuan Xiaoqing¹^ORCID,Li Hanhao¹^ORCID

Affiliation:

1. Department of Industrial Engineering, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, China

2. Institute of Robotics, Autonomous System and Sensing, School of Electrical and Electronic Engineering, University of Leeds, Leeds, U.K.

Funder

Science and Technology Plan Project of Xi’an City

Natural Science Foundation of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10163856.pdf?arnumber=10163856

Reference39 articles.

1. Improved High-Density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network

2. Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networks

3. Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses

4. PREDICTING DIABETES FROM PHOTOPLETHYSMOGRAPHY USING DEEP LEARNING

5. Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

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2. Neural admittance control based on motion intention estimation and force feedforward compensation for human–robot collaboration;International Journal of Intelligent Robotics and Applications;2024-07-22

3. The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System;IEEE Transactions on Instrumentation and Measurement;2024

4. Study on a Portable Electrode Used to Detect the Fatigue of Tower Crane Drivers in Real Construction Environment;IEEE Transactions on Instrumentation and Measurement;2024

5. A Novel Surface Electromyographic Gesture Recognition Using Discrete Cosine Transform-Based Attention Network;IEEE Signal Processing Letters;2024

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