Enhanced dynamic programming approach for subunit modelling to handle segmentation and recognition ambiguities in sign language-Reference-Cited by-同舟云学术

Enhanced dynamic programming approach for subunit modelling to handle segmentation and recognition ambiguities in sign language

Published:2018-07 Issue: Volume:117 Page:246-255
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

R. Elakkiya^ORCID,K. Selvamani

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference43 articles.

1. An extensive comparative study of cluster validity indices;Arbelaitz;Pattern Recognit.,2013

2. Towards an automatic sign language recognition system using subunits;Bauer,2002

3. Non-manual cues in automatic sign language recognition;Caridakis;Pers. Ubiquitous Comput.,2014

4. Y.Q. Chen, W. Gao, G.L. Fang, Z.Q. Wang, CSLDS: Chinese sign language dialog system, in: Proc. IEEE ICCV Int. Workshop on Anal. Modeling Faces Gestures, 2003, pp. 236–237.

5. C. Dong, M.C. Leu, Z. Yin, American sign language alphabet recognition using microsoft kinect, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Workshops, 2015, pp. 44–52.

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