Action unit-based linked data for facial emotion recognition

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

2 Citations (Scopus)

Abstract

This paper treats methodology to build linked data from the relationships between facial action units and their states as emotional parameters for the facial emotion recognition. In this paper, the authors are especially focusing on building action unit-based linked data because it will be possible not only to use the data for the facial emotion recognition but also to enhance the usefulness of the data by merging them with other linked data. Although in general, the representation as linked data seems to make the accuracy of the facial emotion recognition lower than others, in practically the proposed method that uses action unit-based linked data has almost the same accuracy for the facial emotion recognition as those of other approaches like using Artificial Neural Network and using Support Vector Machine.

Original languageEnglish
Title of host publicationActive Media Technology - 9th International Conference, AMT 2013, Proceedings
PublisherSpringer Verlag
Pages211-220
Number of pages10
ISBN (Print)9783319027494
DOIs
Publication statusPublished - Jan 1 2013
Event9th International Conference on Active Media Technology, AMT 2013 - Maebashi, Japan
Duration: Oct 29 2013Oct 31 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8210 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Active Media Technology, AMT 2013
Country/TerritoryJapan
CityMaebashi
Period10/29/1310/31/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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