[3F3-GS-9] Human interface

[3F3-GS-9-04] Recognition of Tapping Motion Based on Wrist Electromyography

〇Yuki Saito¹, Momoyo Ito¹, Shin-ichi Ito¹, Minoru Fukumi¹ (1. Tokushima University)

[[Online]]

Keywords:EMG

In recent years, along with the information society, researches on human interfaces have been actively conducted. The surface electromyography (EMG) research is a field where various applied researches are being made in many kinds of human interfaces. In this paper, for the purpose of developing an object manipulation system by 5-finger tapping, we classified and identified finger movements based on EMG signals measured from the wrist using sensors. A sensor must be attached to measure the surface electro myography. With a view to introducing it into daily life, we thought that it would be best to use a dry type sensor in order to use a device that is easy to put on and take off and has a low running cost. In the system, outlier processing, FFT, noise removal, and smoothing processing were performed on the preprocessing section. In addition, the accuracy was calculated by machine learning using SVM. As a future task, it is necessary to improve operation identification accuracy.