Boosted subunits: a framework for recognising sign language from videos

Author:

Han Junwei1,Awad George2,Sutherland Alistair3

Affiliation:

1. School of Automation, Northwestern Polytechnical UniversityXi'anPeople's Republic of China

2. Information Technology Laboratory, National Institute for Standards and TechnologyGaithersburgMarylandUSA

3. School of Computing, Dublin City UniversityDublinIreland

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Real-time American sign language recognition using desk and wearable computer based video

2. 1998 Proc. Third Int. Conf. Autom. Face Gesture Recognition Nara Japan R.H. Liang M. Ouhyoung A real‐time continuous gesture recognition system for sign language 558 565

3. SIGN LANGUAGE RECOGNITION BASED ON HMM/ANN/DP

4. 2006 Proc. of Int. Symposium on Visual Computing Nevada USA T. Coogan G. Awad J. Han A. Sutherland Real time hand gesture recognition including hand segmentation and tracking 495 504

5. 2004 Proc. of British Machine Vision Conf. UK T. Kadir R. Bowden E.J. Ong Minimal training large lexicon unconstrained sign language recognition 939 948

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