Action unit-based linked data for facial emotion recognition

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルActive Media Technology - 9th International Conference, AMT 2013, Proceedings
出版社Springer Verlag
ページ211-220
ページ数10
ISBN(印刷版)9783319027494
DOI
出版ステータス出版済み - 1 1 2013
イベント9th International Conference on Active Media Technology, AMT 2013 - Maebashi, 日本
継続期間: 10 29 201310 31 2013

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8210 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他9th International Conference on Active Media Technology, AMT 2013
国/地域日本
CityMaebashi
Period10/29/1310/31/13

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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