American Sign Language recognition system for hearing impaired people using Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Ullah:2011:ICARA,

• author = "Fahad Ullah",
• title = "American Sign Language recognition system for hearing impaired people using Cartesian Genetic Programming",
• booktitle = "5th International Conference on Automation, Robotics and Applications (ICARA 2011)",
• year = "2011",
• month = "6-8 " # dec,
• pages = "96--99",
• address = "Wellington, New Zealand",
• size = "4 pages",
• abstract = "American Sign Language (ASL) is a well developed and standard way of communication for hearing impaired people living in English speaking communities. Since the advent of modern technology, different intelligent computer-aided applications have been developed that can recognise hand gestures and hence translate gestures into understandable forms. In this paper, ASL based hand gesture recognition system is presented that uses evolutionary programming technique called Cartesian Genetic Programming (CGP). Hand gesture images representing different English alphabets are used to train the CGP based system and then it is tested for a different set of images. The sign recognition accuracy obtained is around 90percent. Also, a chat application is proposed with a possible solution to boost the accuracy of the recognition up to 100percent.",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, American sign language recognition system, evolutionary programming, hand gesture images, hand gesture recognition system, hearing impaired people, intelligent computer-aided applications, gesture recognition, handicapped aids",
• DOI = "doi:10.1109/ICARA.2011.6144863",
• notes = "Also known as \cite{6144863}",

}

Genetic Programming entries for Fahad Ullah

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