An approach to automatically extracting the basic units in Chinese sign language recognition

Author

Wang, Chunli ; Gao, Wen ; Ma, Jiyong

Author_Institution

Dept. of Comput. Sci., Dalian Univ. of Technol., China

Volume

2

fYear

2000

fDate

2000

Firstpage

855

Abstract

The recognition of large vocabulary continuous Chinese sign language (CSL) is a challenging problem. It is effective to use phonemes instead of whole signs as the basic units. In this paper, an approach to extracting the basic units in CSL automatically is described. In order to find subwords in each data streams in sign signals, dynamic programming (DP) is proposed to segment the data streams, and then ANN approach combining k-means is used to classify these segments. 71 hand postures are automatically extracted from 1063 words and 200 continuous sentences. These postures accompanied with locations and orientations are used as basic units in large vocabulary continuous CSL recognition

Keywords

dynamic programming; feature extraction; handicapped aids; image recognition; neural nets; pattern recognition; ANN approach; automatic basic units extraction; continuous Chinese sign language recognition; continuous sentences; data streams; dynamic programming; hand postures; k-means; large vocabulary recognition; pattern recognition; phonemes; sign signals; subwords; Artificial neural networks; Computer science; Data gloves; Data mining; Dynamic programming; Face recognition; Handicapped aids; Pattern recognition; Speech recognition; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891645

Filename

891645