Discrimination of Stress-Coping Styles Based on Near-Infrared Facial Images Using Sparse Modeling

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: 2024/07/01

タイトル(英語): Discrimination of Stress-Coping Styles Based on Near-Infrared Facial Images Using Sparse Modeling

著者名: Tomoro Okajima (Aoyama Gakuin University), Shiori Oyama (Aoyama Gakuin University), Kent Nagumo (Aoyama Gakuin University), Akio Nozawa (Aoyama Gakuin University)

著者名(英語): Tomoro Okajima (Aoyama Gakuin University), Shiori Oyama (Aoyama Gakuin University), Kent Nagumo (Aoyama Gakuin University), Akio Nozawa (Aoyama Gakuin University)

キーワード: Driver monitoring system，stress-coping styles，near-infrared facial image，facial skin blood flow，sparse modeling

要約(英語): Drivers show two types of stress-coping responses: active coping responses to stressful stimuli that they actively cope with and passive coping responses to stressful stimuli that they have no choice but to endure. Considering that the two types of stress-coping styles of drivers can be used as indicators of safety and comfort evaluation at all SAE levels, a method must be established to distinguish between them. Stress-coping styles can be distinguished based on hemodynamic variability; however, existing hemodynamic measurement methods require contact and time. In this study, we measured facial skin blood flow using a noncontact method by capturing near-infrared facial images using near-infrared light, which has a high depth of penetration into biological tissues. Furthermore, we applied sparse modeling, an information extraction technique, to near-infrared facial images to extract skin blood flow features related to stress-coping styles and attempted to distinguish stress-coping styles as quickly as possible using a single image. Consequently, we identified skin blood flow characteristics of the nasal apex and cheeks related to stress-coping styles and developed a noncontact, rapid discrimination method with an accuracy of 83.1%。

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.7 （2024） 特集：2023年電子・情報・システム部門大会

本誌掲載ページ: 595-601 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/7/144_595/_article/-char/ja/