Movements Classification Through sEMG With Convolutional Vision Transformer and Stacking Ensemble Learning-Reference-Cited by-同舟云学术

Movements Classification Through sEMG With Convolutional Vision Transformer and Stacking Ensemble Learning

Published:2022-07-01 Issue:13 Volume:22 Page:13318-13325
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Shen Shu¹^ORCID,Wang Xuebin²,Mao Fan²,Sun Lijuan¹^ORCID,Gu Minghui²

Affiliation:

1. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks and the School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China

2. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China

Funder

National Natural Science Foundation of China

Postgraduate Innovation Program of Jiangsu Province

Science Foundation of Nanjing University of Posts and Telecommunications

Project of the State Key Laboratory of Computer Aided Design and Computer Graphics (CAD & CC) of Zhejiang University

Special Project of Science and TechnologyPlan of Shaoxing Science and Technology Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9812846/09789991.pdf?arnumber=9789991

Reference23 articles.

1. Dynamic Gesture Recognition Based on LSTM-CNN

2. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst (NIPS),2017

3. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020

4. TEMGNet: Deep transformer-based decoding of upperlimb sEMG for hand gestures recognition;rahimian;arXiv 2109 12379,2021

5. ViT-HGR: Vision transformer-based hand gesture recognition from high density surface EMG signals;montazerin;arXiv 2201 10060,2022

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