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Summary & Details

Driver Operation Prediction and Emotion Estimation

自動車運転時のドライバーの操作予測と情動推定に関する試み

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20264556

Paper/Info type: Journal of Society of Automotive Engineers of Japan

Vol.80 No.9

Pages: 88-93(Total 6 p)

Date of publication: Sep 2026

Publisher: JSAE

Language: Japanese

Detailed Information

Category(J)	ホットトピックス Translation
Category(E)	Hot Topics
Author(J)	1) 山﨑由大
Author(E)	1) Yudai Yamasaki
Affiliation(J)	1) 東京大学大学院
Abstract(J)	自動車での消費エネルギーおよびCO２低減を実現し、かつドライバーに不快感を覚えさせないような走行状況によっても変化するドライバーの特性を考慮したパワートレインの制御システムの構築を目指し、著者らのグループで検討しているドライバーのアクセル操作予測および感情推定に関する研究について紹介する。 Translation
Abstract(E)	Vehicle energy consumption and CO2 emissions depend heavily on driver operations. Predicting a driver's accelerator operations for powertrain control could potentially reduce both energy and emissions. Furthermore, estimating driver emotions which fluctuate based on driving conditions enables active acceleration suppression control tailored to emotional states without causing driver discomfort. This report introduces our research group's studies on driver accelerator operation prediction and emotion estimation.

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