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Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
(IEEE, 2007)
This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ...
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. ...
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 ...