Hand Gesture Classification using Deep learning and CWT images based on multi-channel surface EMG signals-Reference-Cited by-同舟云学术

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Hand Gesture Classification using Deep learning and CWT images based on multi-channel surface EMG signals

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Buelvas Hebert Elias Palmera¹,Montaña Juan Diego Trujillo¹,Serrezuela Ruthber Rodriguez¹

Affiliation:

1. Corporación Universitaria del Huila – CORHUILA,Neiva,Colombia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10253296.pdf?arnumber=10253296

Reference35 articles.

1. Analysis Between ELM and ANN in EMG Signals Obtained for the Control of a Robotic Hand Prosthesis;claros;ARPN Journal of Engineering and Applied Sciences,2020

2. Robotic therapy for the hemiplegic shoulder pain: a pilot study;rodríguez;Journal of NeuroEngineering and Rehabilitation,2020

3. Exoesqueleto robótico para la rehabilitación del miembro superior del paciente hemipléjico;broche;Ingeniería Mecánica,2020

4. Aplicación de la Transformada Continua de Wavelet en Señales Ultrasónicas;torres;Revista Mexicana de Ingenierí a Biomé dica,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals;Sensors;2024-02-16

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