Building a Chinese Facial Expression Database for Automatically Detecting Academic Emotions to Support Instruction in Blended and Digital Learning Environments

Sunny S.J. Lin*, Wei Chen, Chun Hsien Lin, Bing Fei Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper specifically focuses on how to build a Chinese facial expression database collecting the facial expressions of college students and describes a strategy to develop an automatically detecting technique for academic emotions to support teachers making better decisions in blended and digital learning environments. There are some famous worldwide databases of facial emotion expressions, e.g., Amsterdam Dynamic Facial Expression Set (ADFES), Montreal set of facial displays of emotion, or Brazillian FEI database. Their major collections are full facial expression of western people with very limited Asian or Chinese faces. Because some emotion facial expressions might be culturally bounded, it arises the necessity to develop a Chinese facial expression database as a critical step to develop an automatically facial emotion expression dictating technique with high accuracy.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - 2nd International Conference, ICITL 2019, Proceedings
EditorsLisbet Rønningsbakk, Ting-Ting Wu, Frode Eika Sandnes, Yueh-Min Huang
PublisherSpringer
Pages155-162
Number of pages8
ISBN (Print)9783030353421
DOIs
StatePublished - 1 Jan 2019
Event2nd International Conference on Innovative Technologies and Learning, ICITL 2019 - Tromsø, Norway
Duration: 2 Dec 20195 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11937 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Innovative Technologies and Learning, ICITL 2019
CountryNorway
CityTromsø
Period2/12/195/12/19

Keywords

  • Academic emotions
  • Basic emotions
  • Blended and digital learning environments
  • Facial expressions of emotion

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  • Cite this

    Lin, S. S. J., Chen, W., Lin, C. H., & Wu, B. F. (2019). Building a Chinese Facial Expression Database for Automatically Detecting Academic Emotions to Support Instruction in Blended and Digital Learning Environments. In L. Rønningsbakk, T-T. Wu, F. E. Sandnes, & Y-M. Huang (Eds.), Innovative Technologies and Learning - 2nd International Conference, ICITL 2019, Proceedings (pp. 155-162). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11937 LNCS). Springer. https://doi.org/10.1007/978-3-030-35343-8_17