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Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
(IEEE, 2015)
In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ...
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
(Springer, 2015)
This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ...
Multiple Proposals for Continuous Arabic Sign Language Recognition
(Springer, 2019)
The deaf community relies on sign language as the primary means of communication. For the millions of people around the world who suffer from hearing loss, interaction with hearing people is quite difficult. The main ...
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
(Elsevier, 2011)
This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ...