The Recognition of Finger-Spelling for Chinese Sign Language

Authors:
Jiangqin Wu;Wen Gao
Affiliations:
-;-
Venue:
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
Year:
2001

Citing 1
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Abstract

In this paper 3-layer feedforward network is introduced to recognize Chinese manual alphabet, and Single Parameter Dynamic Search Algorithm(SPDS) is used to learn net parameters. In addition, a recognition algorithm for recognizing manual alphabets based on multifeatures and multi-classifiers is proposed to promote the recognition performance of finger-spelling. From experiment result, it is shown that Chinese finger-spelling recognition based on multi-features and multiclassifiers outperforms its recognition based on single-classifier.