Hand Gesture Classification Using Surface Electromyography Signals Based on Fusion of Time Domain Features-Reference-Cited by-同舟云学术

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Hand Gesture Classification Using Surface Electromyography Signals Based on Fusion of Time Domain Features

Published:2024-04-17 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
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Author:

Mohapatra Nihar Ranjan¹,Sahoo Jaya Prakash¹,Sahoo Goutam Kumar¹

Affiliation:

1. Biju Patnaik University of Technology,Centre for UG & PG Studies,Deptartment of ECE,Rourkela,Odisha,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10547720/10547724/10547968.pdf?arnumber=10547968

Reference13 articles.

1. Hand Gesture Recognition Using Densely Connected Deep Residual Network and Channel Attention Module for Mobile Robot Control

2. A Critical Review on Hand Gesture Recognition using sEMG: Challenges, Application, Process and Techniques

3. Gesture Recognition by Ensemble Extreme Learning Machine Based on Surface Electromyography Signals

4. Spatial Feature Integration in Multidimensional Electromyography Analysis for Hand Gesture Recognition

5. Surface Electromyographic Hand Gesture Signal Classification Using a Set of Time-Domain Features

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