舌骨上筋群の筋電信号に基づくCNNを用いた舌動作と黙声母音の推定

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2018/07/01

タイトル(英語): Estimation of Tongue Motion and Vowels of Silent Speech Based on EMG from Suprahyoid Muscles using CNN

著者名: 渡邉　大生（神戸市立工業高等専門学校），尾山　匡浩（神戸市立工業高等専門学校），福見　稔（徳島大学）

著者名(英語): Taisei Watanabe (Kobe City College of Technology), Tadahiro Oyama (Kobe City College of Technology), Minoru Fukumi (Tokushima University)

キーワード: 筋電，舌骨上筋群，黙声母音，舌動作，畳み込みニューラルネットワーク　　electromyogram，suprahyoid muscles，vowels of silent speech，tongue motion，convolutional neural network

要約(英語): In this paper, we propose a method to estimate the tongue motion direction and silent speech based on convolutional neural network (CNN) using the surface electromyogram (EMG) from the suprahyoid muscles. Conventional human machine interface (HMI) is difficult to use for users who are unable to freely move the muscles below the neck due to nerve damage or the like. Therefore, we have developed a method to estimate the tongue motion in 6 directions and 5 vowels of silent speeches from 4 channel EMG. As a result of verification experiment, we obtained averaged accuracy was about 81.2% in the estimation of the tongue directions and the silent speeches. Thus, it was suggested that simultaneous estimation is possible based on EMG measured from electrodes on the anterior neck region.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.7 （2018）特集：平成29年電子・情報・システム部門大会

本誌掲載ページ: 828-837 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/7/138_828/_article/-char/ja/