• Corpus ID: 11631793

Hand Gesture Recognition : Sign to Voice System ( S 2 V )

@inproceedings{Foong2012HandGR,
  title={Hand Gesture Recognition : Sign to Voice System ( S 2 V )},
  author={Oi-Mean Foong and Tan Jung Low and T SatrioWibowo},
  year={2012}
}
Hand gesture is one of the typical methods used in sign language for non-verbal communication. It is most commonly used by people who have hearing or speech problems to communicate among themselves or with normal people. Various sign language systems have been developed by manufacturers around the globe but they are neither flexible nor cost-effective for the end users. This paper presents a system prototype that is able to automatically recognize sign language to help normal people to… 
6 Citations

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References

SHOWING 1-10 OF 18 REFERENCES
A boosted classifier tree for hand shape detection
  • Eng-Jon Ong, R. Bowden
  • Computer Science
    Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.
  • 2004
TLDR
A novel, unsupervised approach to training an efficient and robust detector which is capable of not only detecting the presence of human hands within an image but classifying the hand shape.
Machine vision - theory, algorithms, practicalities
Computer Vision: A First Course
Perception A pattern recognition system Image acquisition and modelling Low level processing Segmentation A PCB example Line labelling Towards three dimensions Knowledge representation Rule based
International Journal of Electrical and Electronics Engineering
International Journal of Electrical & Electronics Engineering (ISSN 1694- 2310) is an open access, blind peer reviewed international journal that emphasizes on  research,  innovation, advancement,
The Syntax of American Sign Language: Functional Categories and Hierarchical Structure by Carol Neidle et al.
  • K. Emmorey
  • Linguistics
    Trends in Cognitive Sciences
  • 2000
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...
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