FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS

Asst. Prof. Dr. Naufel Bahjat Mohammed

FUZZY MODELING AND CLASSIFICATION OF TWO HUMAN HANDS EMG SIGNALS

Authors

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

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. Zeta Repository, 4(3), 13–20. Retrieved from https://zetarepo.com/index.php/zr/article/view/867