Appearance-based human gesture recognition using multimodal features for human computer interaction

Dan Luo*, Hua Gao, Hazim Kemal Ekenel, Jun Ohya

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The use of gesture as a natural interface plays an utmost important role for achieving intelligent Human Computer Interaction (HCI). Human gestures include different components of visual actions such as motion of hands, facial expression, and torso, to convey meaning. So far, in the field of gesture recognition, most previous works have focused on the manual component of gestures. In this paper, we present an appearance-based multimodal gesture recognition framework, which combines the different groups of features such as facial expression features and hand motion features which are extracted from image frames captured by a single web camera. We refer 12 classes of human gestures with facial expression including neutral, negative and positive meanings from American Sign Languages (ASL). We combine the features in two levels by employing two fusion strategies. At the feature level, an early feature combination can be performed by concatenating and weighting different feature groups, and LDA is used to choose the most discriminative elements by projecting the feature on a discriminative expression space. The second strategy is applied on decision level. Weighted decisions from single modalities are fused in a later stage. A condensation-based algorithm is adopted for classification. We collected a data set with three to seven recording sessions and conducted experiments with the combination techniques. Experimental results showed that facial analysis improve hand gesture recognition, decision level fusion performs better than feature level fusion.

本文言語English
ホスト出版物のタイトルProceedings of SPIE-IS and T Electronic Imaging - Human Vision and Electronic Imaging XVI
DOI
出版ステータスPublished - 2011
イベントHuman Vision and Electronic Imaging XVI - San Francisco, CA, United States
継続期間: 2011 1 242011 1 27

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
7865
ISSN(印刷版)0277-786X

Conference

ConferenceHuman Vision and Electronic Imaging XVI
国/地域United States
CitySan Francisco, CA
Period11/1/2411/1/27

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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