Hand Gesture Classification using sEMG Signals and Ensemble Learning-Reference-Cited by-同舟云学术

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Hand Gesture Classification using sEMG Signals and Ensemble Learning

Published:2024-03-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
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Author:

Chandran Ranjeesh R¹,Devaraj D.²,Ashok Saurav³,Shaji Donfred³,Saju Sam K³

Affiliation:

1. Adishankara Institute of Engineering and Technology,Department of Robotics and Automation,Kalady,Kerala,India

2. Kalasalingam Academy of Research and Education,Department of Electronics and Electrical Technology,Srivilliputhur,Tamil Nadu,India

3. Adishankara Inst. of Eng and Tech.,Department of Robotics and Automation,Kalady,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527409/10527410/10527635.pdf?arnumber=10527635

Reference21 articles.

1. Surface EMG based hand gesture recognition using hybrid deep learning networks;Baao;PhD diss., Loughborough University,2021

2. Time-frequency signal analysis and processing: a comprehensive reference;Boualem;Academic press,2015

3. An automatic pre-processing method to detect and reject signal artifacts from full-shift field-work sEMG recordings of bilateral trapezius activity

4. Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure

5. Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming

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