Affiliation:
1. Tianjin University of Technology
Abstract
This paper presents a new type of deaf-mute sign language recognition system by combining mobile communication platform and the mobile communication terminal equipment. The system can implement the vision-based sign language recognition and translation. A Standard Sign Language Database is established in this system. Multi-national and multi-language sign language recognition can be completed by the following training using the database. In order to improve the accuracy of the recognition of similar sign language, an improved HMM sign language recognition method is used in this paper. The angle information of sign language which can be achieved by the traditional data-glove is introduced in the system on the basis of visual methods, makes the system taking into account these two recognition technology. The system can be implemented in ordinary mobile terminal equipment. Low cost and popularity of sign language recognition device can be realized. The deaf-mutes communicate for barrier-free anytime and anywhere by the application.
Publisher
Trans Tech Publications, Ltd.
Reference9 articles.
1. A. Vassilis and S. Sclaroff, 3D Hand Pose Estimation by Finding Appearance-Based Matches in a Large Database of Training Views, IEEE Workshop on Cues in Communication. 28, 1-14 (2001).
2. S. Fels and H.G. Glove. A neural network interface between a data glove and a speech synthesizer. IEEE Trans Neural Networks. 4. 1, 2-8 (1993).
3. R.H. Liang, etc., A Real-time Continuous Alphabetic Sign Language to Speech Conversion VR System, Computer Graphics Forum. 14. 3, 67-77 (1995).
4. Y. Suenaga, K. Mase. M. Fukumoto and Y. Watanabe. Human reader: an advanced man-machine interface based on human images and speech. Systems and Computers in Japan. 24. 2, 88-101 (1993).
5. Q. Yang, Chinese Sign Language Recognition Based On Video Sequence Appearance Modeling, IEEE Conference on Industrial Electronics and Applications. 5, 1537-1542 (2010).
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1 articles.
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