Review of Automatic Emotion Recognition Through Facial Expression Analysis

Dewi Yanti Liliana, T. Basaruddin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Nowadays, the social intelligent machine is developed to be more human-like by understanding human emotion. Therefore, many researches attempt to capture nonverbal signals which visually appears on facial expressions to recognize human emotions. Face is being explored because face mostly reveals the emotion contains in it. Many researches on facial expression recognition have been done and delivered optimistic results, however continuous research must be afforded to increase the performance of some methods. This paper is written as a part of doctoral research study on human emotion recognition as an effort to depict and elaborate the roadmap of research on automatic emotion recognition. In this paper, firstly we describe about Social Signal Processing as the emotion recognition domain. Secondly, the analysis of a human emotion model. Thirdly, the method of Facial Expression Recognition (FER), followed by the description about state of the art research on FER. Lastly, we explore about the prospect of the next research on FER as a part of the development on this field.

Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-236
Number of pages6
ISBN (Electronic)9781538657201
DOIs
Publication statusPublished - 7 Jan 2019
Event2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018 - Pangkal Pinang, Indonesia
Duration: 2 Oct 20184 Oct 2018

Publication series

NameProceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018

Conference

Conference2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018
Country/TerritoryIndonesia
CityPangkal Pinang
Period2/10/184/10/18

Keywords

  • Affective computing
  • emotion recognition
  • facial expression recognition
  • social signal processing

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