Estimation of Subjective Arousal Level with Convolutional Neural Networks During LED Light Exposure

カテゴリ: 論文誌(論文単位)

グループ名: 【A】基礎・材料・共通部門

発行日: 2021/09/01

タイトル(英語): Estimation of Subjective Arousal Level with Convolutional Neural Networks During LED Light Exposure

著者名: Yoshihiro Oka (Kagawa University), Sayyidatul Nur Afiqah binti Abd Ghafar (Kagawa University), Wataru Yoshida (Kagawa University), Yuichi Tanji (Kagawa University), Hirotoshi Asano (Kogakuin University)

著者名(英語): Yoshihiro Oka (Kagawa University), Sayyidatul Nur Afiqah binti Abd Ghafar (Kagawa University), Wataru Yoshida (Kagawa University), Yuichi Tanji (Kagawa University), Hirotoshi Asano (Kogakuin University)

キーワード: arousal level，CNN，physiological measurement

要約(英語): The purpose of this study is to estimate subjective arousal levels from nasal skin temperature data during exposure to two types of red LEDs using a convolutional neural network. Subjective arousal is estimated from nasal skin temperature and the accuracy was shown to vary depending on the bandwidth of the light.

本誌: 電気学会論文誌A（基礎・材料・共通部門誌） Vol.141 No.9 （2021） 特集：イノベーションを創出する最新の計測技術2021

本誌掲載ページ: 504-505 p

原稿種別: 研究開発レター／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejfms/141/9/141_504/_article/-char/ja/