Early recognition based on co-occurrence of gesture patterns

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

We propose an approach to achieve early recognition of gesture patterns. We assume that there are two people who interact with a machine, a robot or something. In such a situation, a gesture of a person often has a relationship with a gesture of another person. We exploit such a relationship to realize early recognition of gesture patterns. Early recognition is a method to recognize sequential patterns at their beginning parts. Therefore, in the case of gesture recognition, we can get a recognition result of human gestures before the gestures have finished. Recent years, some approaches have been proposed. In this paper, we expand the application range of early recognition to multiple people based on the co-occurrence of gesture patterns. In our approach, we use Self-Organizing Map to represent gesture patterns of each person, and associative memory based approach learns the relationship between co-occurring gestures. In the experiments, we have found that our proposed method achieved the early recognition more accurately and earlier than the traditional approach.

本文言語英語
ホスト出版物のタイトルNeural Information Processing
ホスト出版物のサブタイトルModels and Applications - 17th International Conference, ICONIP 2010, Proceedings
ページ431-438
ページ数8
PART 2
DOI
出版ステータス出版済み - 2010
イベント17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW, オーストラリア
継続期間: 11月 22 201011月 25 2010

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)
番号PART 2
6444 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他17th International Conference on Neural Information Processing, ICONIP 2010
国/地域オーストラリア
CitySydney, NSW
Period11/22/1011/25/10

!!!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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