Naïve Bayes Classifier for Hand Gestures Recognition

Abstract

: This paper provides recognizing the five gestures of the fingers using Naïve Bayes method. The electromyography signal (EMG) is utilized to recognize the fingers movement. A myo armband is used to obtain the signal. The average success rate of the system is about 90.61%. To verify the results, the outputs of the system are used to control a mobile robot. The results show that the system is able to control the movement of the robot.