Korean Finger Number Gesture Recognition Based on CNN Using Surface Electromyography Signals-Reference-Cited by-同舟云学术

Korean Finger Number Gesture Recognition Based on CNN Using Surface Electromyography Signals

Published:2020-10-28 Issue:1 Volume:16 Page:591-598
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Park Jong-Jun,Kwon Chun-Ki^ORCID

Funder

Soonchunhyang University

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/content/pdf/10.1007/s42835-020-00587-3.pdf

Reference25 articles.

1. Kang H (2002) Finger sign recognition technique using sEMG sensor and gyro sensor. Master Thesis, Soongsil University

2. Biagetti G, Crippa P, Falaschetti L, Orcioni S, Turchetti C (2018) Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes. BioMed Eng 17:132

3. Volkmar R, Dosen S, Gonzalez-Vargas J, Baum M, Markovic M (2019) Improving bimanual interaction with a prosthesis using semi-autonomous control. J NeuroEng Rehabil 16(140):1–13

4. E. Yulianto, T. Indrato, Suharyati (2018) The design of electrical wheelchairs with electromyography signal controller for people with paralysis. Electric Electron Eng 8(1):1–9

5. Chen X, Wang Z (2013) Pattern recognition of number gestures based on a wireless surface EMG system. J Biomed Signal Process Control 8:184–192

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