@inproceedings{cd604d9c2162490388a8f72ab3616e4e,
title = "A real time arabic sign language recognition using PCA",
abstract = "Automated sign language recognition provides additional enhancements to human-machine interaction in many applications. In this paper, the authors focus on the Arabic sign language and offer a real-time implementation using the CyberGlove and the interface. A total of 28 signals are measured from the CyberGlvoe and the Ascension tracker and the authors have developed and build both software and hardware to implement the recognition system. Several testing stages have been constructed and experimental results are presented using a small number of sign language subjects. The system shows a 95.7\% accuracy of these tests.",
keywords = "Arabic sign language, CyberGlove, Flock of birds, PCA, Pattern matching",
author = "\{Al Saihati\}, Ibrahim and Mohamed Deriche",
year = "2014",
language = "English",
isbn = "9781632665133",
series = "29th International Conference on Computers and Their Applications, CATA 2014",
publisher = "International Society for Computers and Their Applications",
pages = "201--210",
booktitle = "29th International Conference on Computers and Their Applications, CATA 2014",
note = "29th International Conference on Computers and Their Applications, CATA 2014 ; Conference date: 24-03-2014 Through 26-03-2014",
}