Facial expression data constructed with Kinect and their clustering stability

Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki

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

4 引用 (Scopus)

抜粋

In this paper, we construct facial expression benchmark data of 100 persons using Kinect face tracking application and study the stability of the benchmark data in terms of clustering. Kinect with its Software Development Kit applications has enabled low-cost constructions of various benchmark data on humans. We devised multi-lingual instruction sheets on 25 expressions, collected data from 115 persons, and carefully inspected and labeled the outcome to construct the data. The benchmark data consist of 263,106 instances, each of which includes 6 animation units, 11 shape units, and an image file all provided by the application. Out of the 263,106 instances, we labeled 62,500 of them as 1 of the 25 expressions and investigated their clustering stabilities to the 17 features. We show that the most frequently used clustering algorithm: k-means achieves the average normal mutual information about 0.92 as an evidence of the stability of our facial expression data.

元の言語英語
ホスト出版物のタイトルActive Media Technology - 10th International Conference, AMT 2014, Proceedings
出版者Springer Verlag
ページ421-431
ページ数11
ISBN(印刷物)9783319099118
DOI
出版物ステータス出版済み - 1 1 2014
イベント10th International Conference on Active Media Technology, AMT 2014 - Warsaw, ポーランド
継続期間: 8 11 20148 14 2014

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)
8610 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

その他

その他10th International Conference on Active Media Technology, AMT 2014
ポーランド
Warsaw
期間8/11/148/14/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント Facial expression data constructed with Kinect and their clustering stability' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Erna, A., Yu, L., Zhao, K., Chen, W., & Suzuki, E. (2014). Facial expression data constructed with Kinect and their clustering stability. : Active Media Technology - 10th International Conference, AMT 2014, Proceedings (pp. 421-431). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 8610 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09912-5_35