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Study on discrimination of finger motion based on EMG signals

Study on discrimination of finger motion based on EMG signals

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カテゴリ: 部門大会

論文No: OS5-1

グループ名: 【C】2019年電気学会電子・情報・システム部門大会プログラム

発行日: 2019/08/28

タイトル(英語): Study on discrimination of finger motion based on EMG signals

著者名: 単 暁(徳島大学)

著者名(英語): Xiao Shan()

キーワード: Biological Signals|ElectroMyoGram|Support Vector Machine

要約(日本語): In recent years, biological signals have attracted attention as tools for human interfaces. Researches on biological signals have been actively conducted. In this study, we propose a method which distinguishes「1」「2」「3」「4」「5」by electromyogram of the wrist. We measure data by installing 8 dry sensors on the wrist. We use FFT to observe the EMG data, and then take a variety of methods to remove noises. Finally, we use SVM(Support Vector Machine) for identification and classification. We conducted an experiment in 3 subjects. We measured each motion 10 times in 1 trial and conducted this in 5 times. This experiment was conducted for 3 days. In the future, we will also add more methods of noise remove, CNN and other methods to improve the accuracy in the research.

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