アリザデ　メラサ   Alizadeh Mehrasa   アリザデ　メラサ    所属   追手門学院大学  共通教育機構    職種   准教授
言語種別	英語
発行・発表の年月	2020/03/17
形態種別	外国学会誌（その他）
査読	査読あり
標題	Detecting Learner Drowsiness Based on Facial Expressions and Head Movements in Online Courses
執筆形態	共著・編著（代表編著を除く）
掲載誌名	Proceedings of the 25th International Conference on Intelligent User Interfaces Companion
掲載区分	国外
出版社・発行元	ACM
巻・号・頁	pp.124-125
著者・共著者	Shogo Terai, Shizuka Shirai, Mehrasa Alizadeh, Ryosuke Kawamura, Noriko Takemura, Yuki Uranishi, Haruo Takemura, Hajime Nagahara
概要	Drowsiness is a major factor that hinders learning. To improve learning efficiency, it is important to understand students' physical status such as wakefulness during online coursework. In this study, we have proposed a drowsiness estimation method based on learners' head and facial movements while viewing video lectures. To examine the effectiveness of head and facial movements in drowsiness estimation, we collected learner video data recorded during e-learning and applied a deep learning approach under the following conditions: (a) using only facial movement data, (b) using only head movement data, and (c) using both facial and head movement data. We achieved an average F1-macro score of 0.74 in personalized models for detecting learner drowsiness using both facial and head movement data.
DOI	10.1145/3379336.3381500