NIRSを用いた音声聴取者の感情判別に関する研究

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2015/07/01

タイトル(英語): A Study on Classification of Feelings in Listener using NIRS

著者名: 参沢　匡将（富山大学大学院理工学研究部），下川　哲矢（東京理科大学経営学部），広林　茂樹（富山大学大学院理工学研究部）

著者名(英語): Tadanobu Misawa (Graduate School of Science and Engineering, University of Toyama), Tetsuya Shimokawa (The School of Management, Tokyo University of Science), Shigeki Hirobayashi (Graduate School of Science and Engineering, University of Toyama)

キーワード: 近赤外分光法，感情判別　　Near infrared spectroscopy (NIRS)，classification of emotions

要約(英語): In social communication, Emotions are very important, and it has human intellectual activities and deep relations. And recent developments in noninvasive neuroimaging technologies have allowed for research on brain function. In this study, we investigated a potential of classification of listener's emotions using brain activity. Brain activity was measured using near-infrared spectroscopy (NIRS). We determined the classification of emotions (calm, anger, sadness and happiness). . As a results, accuracy was about 85%. So, the results suggested the potential for discriminating multiple emotions on a communication system using brain activity.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.135 No.7 （2015） 特集：脳を読み取るセンサ技術 ～脳機能計測の最前線～

本誌掲載ページ: 255-256 p

原稿種別: 研究開発レター／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejsmas/135/7/135_255/_article/-char/ja/