WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/1765,
	  title     = {Using Different Aspects of the Signings for Appearance-based Sign Language Recognition},
	  author    = {Morteza Zahedi and  Philippe Dreuw and  Thomas Deselaers and  Hermann Ney},
	  country	= {},
	  institution	= {},
	  abstract     = {Sign language is used by the deaf and hard of hearing people for communication. Automatic sign language recognition is a challenging research area since sign language often is the only way of communication for the deaf people. Sign language includes different components of visual actions made by the signer using the hands, the face, and the torso, to convey his/her meaning. To use different aspects of signs, we combine the different groups of features which have been extracted from the image frames recorded directly by a stationary camera. We combine the features in two levels by employing three techniques. At the feature level, an early feature combination can be performed by concatenating and weighting different feature groups, or by concatenating feature groups over time and using LDA to choose the most discriminant elements. At the model level, a late fusion of differently trained models can be carried out by a log-linear model combination. In this paper, we investigate these three combination techniques in an automatic sign language recognition system and show that the recognition rate can be significantly improved.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {11},
	  year      = {2008},
	  pages     = {3772 - 3779},
	  ee        = {https://publications.waset.org/pdf/1765},
	  url   	= {https://publications.waset.org/vol/23},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 23, 2008},
	}