A Layered sEMG–FMG Hybrid Sensor for Hand Motion Recognition From Forearm Muscle Activities-Reference-Cited by-同舟云学术

A Layered sEMG–FMG Hybrid Sensor for Hand Motion Recognition From Forearm Muscle Activities

Published:2023-10 Issue:5 Volume:53 Page:935-944
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Chen Peiji¹^ORCID,Li Ziye¹,Togo Shunta¹^ORCID,Yokoi Hiroshi¹,Jiang Yinlai²^ORCID

Affiliation:

1. Department of Mechanical and Intelligent Systems Engineering, The University of Electro-Communications, Tokyo, Japan

2. Center for Neuroscience and Biomedical Engineering, The University of Electro-Communications, Tokyo, Japan

Funder

JSPS KAKENHI

JSPS

National Natural Science Foundation of China

Japan-China Scientific Cooperation Program

JKA

KEIRIN RACE

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/ielx7/6221037/10263994/10177680.pdf?arnumber=10177680

Reference26 articles.

1. Multi-scale Recognition with DAG-CNNs

2. Fabrication, Structure Characterization, and Performance Testing of Piezoelectret-Film Sensors for Recording Body Motion

3. A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions

4. Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning

5. An Ultra-Sensitive Modular Hybrid EMG–FMG Sensor with Floating Electrodes

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