FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS

Authors

  • Asst. Prof. Dr. Naufel Bahjat Mohammed Head of the Computer Department, KISSR

DOI:

https://doi.org/10.17605/OSF.IO/Q7J2M

Keywords:

EMG signals, Fuzzy modeling, Human hand signal.

Abstract

Fuzzy logic and reasoning were applied to modeling and noise reduction of EMG signals measured from a person’s two hands. An OLIMEX 328 microcontroller and two EMG shields were used to measure the EMG signals. A new classification and noise reduction method was presented.

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Published

2023-03-02

How to Cite

Asst. Prof. Dr. Naufel Bahjat Mohammed. (2023). FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS. Web of Scientist: International Scientific Research Journal, 4(3), 13–20. https://doi.org/10.17605/OSF.IO/Q7J2M

Issue

Vol. 4 No. 3 (2023): wos

Section

Articles