Presentation 1999/7/15
Recognition of gestures using morphological features of networks made of gest ure motion images and word sequences
Hiroaki Yabe, Takuichi Nishimura, Toshiro Mukai, Ryuichi Oka,
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Abstract(in English) We propose a method to recognize human gestures using both motion images and texts. The method uses two kinds of network models obtained from two kinds of sequences in a style of self-organization. We can extract both so-called common and singular parts of gesture by analyzing the topology of the network. If the order of movements in a gesture motion image matches with that of words included in a corresponded sentences, then we can also extract both so-called common and singular parts of the network model of text. The proposed method for recognizing gestures uses morphological features between two networks made of gesture motion images and word sequences. We showed the usefulness of the method through an experiment using database composed of pairs of gesture motion image and text.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Gesture recoginition / motion images / self organization / network / elemental motion unit
Paper # MVE99-36
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Committee MVE
Conference Date 1999/7/15(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognition of gestures using morphological features of networks made of gest ure motion images and word sequences
Sub Title (in English)
Keyword(1) Gesture recoginition
Keyword(2) motion images
Keyword(3) self organization
Keyword(4) network
Keyword(5) elemental motion unit
1st Author's Name Hiroaki Yabe
1st Author's Affiliation Real World Computing Partnership()
2nd Author's Name Takuichi Nishimura
2nd Author's Affiliation Real World Computing Partnership
3rd Author's Name Toshiro Mukai
3rd Author's Affiliation Multimodal Functions Sharp Lab. ,RWCP
4th Author's Name Ryuichi Oka
4th Author's Affiliation Real World Computing Partnership
Date 1999/7/15
Paper # MVE99-36
Volume (vol) vol.99
Number (no) 183
Page pp.pp.-
#Pages 8
Date of Issue