Presentation 1994/10/20
The patten recognition and understanding of signs using manual motion descriptions
Hisahiro Adachi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper,we propose a new classification method for signs in Japanese Sign Langage(JSL).The method is based on the similarity between verbal descriptions of signs,which are called manual motion descriptions.The measure of similarity between manual motion descriptions is derived from their longest common subsequence of manual motion descriptions.By computing feature vectors of n properties from a finite set of manual motion descriptions and plotting them in the n-dimensional Euclidean space,the similarity between signs signs can be regarded as an internal angle between the vectros.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Signs / patten recognition / clustering
Paper # NLC94-21,PRU94-46
Date of Issue

Conference Information
Committee NLC
Conference Date 1994/10/20(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The patten recognition and understanding of signs using manual motion descriptions
Sub Title (in English)
Keyword(1) Signs
Keyword(2) patten recognition
Keyword(3) clustering
1st Author's Name Hisahiro Adachi
1st Author's Affiliation Department of Information Science,Faculty of Engineering, Utsunomiya University()
Date 1994/10/20
Paper # NLC94-21,PRU94-46
Volume (vol) vol.94
Number (no) 291
Page pp.pp.-
#Pages 8
Date of Issue