A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition-Reference-Cited by-同舟云学术

A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition

Published:2024-02 Issue:1 Volume:54 Page:131-142
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Kulwa Frank¹^ORCID,Zhang Haoshi¹^ORCID,Samuel Oluwarotimi Williams¹^ORCID,Asogbon Mojisola Grace¹^ORCID,Scheme Erik²^ORCID,Khushaba Rami³^ORCID,McEwan Alistair A.⁴^ORCID,Li Guanglin¹^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada

3. Australian Centre for Field Robotics, Sydney University, Chippendale, NSW, Australia

4. School of Computing and Engineering, University of Derby, Derby, U.K.

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

Guangdong Basic and Applied Research Foundation

Science and Technology Program of Guangdong Province

Ministry of Science and Technology, Shenzhen

ANSO Scholarship for Young Talented Students

Innovative Talent Exchange Program for Foreign Experts

Jinan 5150 Program for Talents Introduction

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10418060/10360331.pdf?arnumber=10360331

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