Hand Movement Recognition with Long Short-Term Memory based Pattern Recognition of Acoustic Myography signals-Reference-Cited by-同舟云学术

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Hand Movement Recognition with Long Short-Term Memory based Pattern Recognition of Acoustic Myography signals

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)
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Author:

Al-Timemy Ali H.¹,Serrestou Youssef²,Khushaba Rami³,Yacoub Slim⁴,Raoof Kosai⁵

Affiliation:

1. Al-Khwarizmi College of Engineeing, University of Baghdad,Biomedical Eng. Deaprtment,Baghdad,Iraq

2. ENSIM- LAUM Le Mans Univeristy,Le Mans,France

3. University of Sydney,Australian Center for Field Robotics,Sydney,Australia

4. LTSIRS INSAT-Carthage University,Tunis,Tunisa

5. LAUM Le Mans Univeristy,Le Mans,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9809782/9809841/09809905.pdf?arnumber=9809905

Reference22 articles.

1. Mechanomyography Assisted Myoeletric Sensing for Upper-Extremity Prostheses: A Hybrid Approach

2. Hand Gesture Recognition Using Mechanomyography Signal Based on LDA Classifier

3. Multimodal hand gesture recognition using single IMU and acoustic measurements at wrist

4. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects;association;JAMA,2013

5. AMG Signals Acquisition Method

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