筋電信号によるメンバシップ関数を用いた日本語単音の認識

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: 2016/12/01

タイトル(英語): Recognition of Single Japanese Sounds using sEMG Signals and Membership Functions

著者名: 村上　弘樹（大阪市立大学大学院工学研究科電子情報系専攻），村治　雅文（大阪市立大学大学院工学研究科電子情報系専攻），白藤　立（大阪市立大学大学院工学研究科電子情報系専攻）

著者名(英語): Hiroki Murakami (Department of Physical Electronics & Information, Graduate School of Engineering, Osaka City University), Masafumi Muraji (Department of Physical Electronics & Information, Graduate School of Engineering, Osaka City University), Tatsuru Shirafuji (Department of Physical Electronics & Information, Graduate School of Engineering, Osaka City University)

キーワード: 筋電信号，sEMG信号，メンバシップ関数，π型メンバシップ関数，無発声音声認識，日本語単音　　Electromyography，sEMG signals，membership functions，π-type membership functions，silent speech recognition，single Japanese sounds

要約(英語): We report a method for recognizing single Japanese sounds including a consonant using surface electromyography (sEMG) signals and membership functions. We focused on six features of the waveforms of four muscles (a total of 24 indexes) and examined the consistency between the sEMG signals and the distribution of each index regarded as membership functions. We also introduced π-type membership functions and confirmed an improvement in the recognition rate (average recognition rate 62.3%, recognition of a series of Japanese syllables 99.1%) by varying the parameter values. These methods allow greater recognition of single Japanese sounds by users.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.12 （2016） 特集Ⅰ：電気・電子・情報関係学会東海支部連合大会　特集Ⅱ：国際会議ACIS 2014/2015

本誌掲載ページ: 1821-1826 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/136/12/136_1821/_article/-char/ja/