Presentation 2021-11-06
Mental Fatigue Estimation Using Facial Images and Voice Frequency for Adaptive Online Service
Taisuke Kawamata, Takako Akakura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With the rapid spread of online services by the Corona disaster, the issue of distance education has come to be discussed. In particular, e-learning, which is mainly self-study, is prone to mental fatigue caused by loneliness and working in a digital environment. In this study, we present a system for estimating learners' fatigue by using a Web camera. This paper reports the experimental results of multimodal fatigue estimation using facial information detected from the frontal images and voice features extracted from the user's speech information obtained by the webcam.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Mental Fatigue / Face / Voice
Paper # ET2021-28
Date of Issue 2021-10-30 (ET)

Conference Information
Committee ET
Conference Date 2021/11/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Education System for Individual Optimization, etc.
Chair Kenji Watanabe(Hiroshimai Univ.)
Vice Chair Yasuhiro Fujihara(Hyogo College of Medicine)
Secretary Yasuhiro Fujihara(Kochi Univ.)
Assistant Sho Yamamoto(Kinki Univ.) / Toru Kano(Tokyo University of Science)

Paper Information
Registration To Technical Committee on Educational Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mental Fatigue Estimation Using Facial Images and Voice Frequency for Adaptive Online Service
Sub Title (in English)
Keyword(1) Mental Fatigue
Keyword(2) Face
Keyword(3) Voice
1st Author's Name Taisuke Kawamata
1st Author's Affiliation Seikei University(Seikei Univ.)
2nd Author's Name Takako Akakura
2nd Author's Affiliation Tokyo University of Science(TUS)
Date 2021-11-06
Paper # ET2021-28
Volume (vol) vol.121
Number (no) ET-232
Page pp.pp.37-42(ET),
#Pages 6
Date of Issue 2021-10-30 (ET)