@article{(Open Science Index):https://publications.waset.org/pdf/15891,
	  title     = {An Adaptive Hand-Talking System for the Hearing Impaired},
	  author    = {Zhou Yu and  Jiang Feng},
	  country	= {},
	  institution	= {},
	  abstract     = {An adaptive Chinese hand-talking system is presented
in this paper. By analyzing the 3 data collecting strategies for new
users, the adaptation framework including supervised and unsupervised
adaptation methods is proposed. For supervised adaptation,
affinity propagation (AP) is used to extract exemplar subsets, and enhanced
maximum a posteriori / vector field smoothing (eMAP/VFS)
is proposed to pool the adaptation data among different models. For
unsupervised adaptation, polynomial segment models (PSMs) are
used to help hidden Markov models (HMMs) to accurately label
the unlabeled data, then the "labeled" data together with signerindependent
models are inputted to MAP algorithm to generate
signer-adapted models. Experimental results show that the proposed
framework can execute both supervised adaptation with small amount
of labeled data and unsupervised adaptation with large amount
of unlabeled data to tailor the original models, and both achieve
improvements on the performance of recognition rate.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {11},
	  year      = {2009},
	  pages     = {2690 - 2695},
	  ee        = {https://publications.waset.org/pdf/15891},
	  url   	= {https://publications.waset.org/vol/35},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 35, 2009},
	}