Analysis of Extracted Forearm sEMG Signal Using LDA, QDA, K-NN Classification Algorithms-Reference-Cited by-同舟云学术

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Analysis of Extracted Forearm sEMG Signal Using LDA, QDA, K-NN Classification Algorithms

Published:2014-07-25 Issue:1 Volume:6 Page:108-116
ISSN:1874-4443
Container-title:The Open Automation and Control Systems Journal
language:en
Short-container-title:TOAUTOCJ

Author:

AlOmari Firas,Liu Gunhai

Publisher

Bentham Science Publishers Ltd.

Subject

Control and Systems Engineering

Cited by 24 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. Comparison between PSD, FFT& Wavelet Transform methods for classification of Electromyography (EMG) Signals;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21

2. A Review on EMG-based Pattern Identification Methods for Effective Controlling of Hand Prostheses;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

3. ML-Based Identification of Neuromuscular Disorder Using EMG Signals for Emotional Health Application;ACM Transactions on Internet Technology;2023-12-14

4. WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition;IEEE Journal of Biomedical and Health Informatics;2023-01

5. Human Intention Recognition for Lower Limb Exoskeleton Robot;Lecture Notes in Electrical Engineering;2023

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