Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode

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 dataset, hand movements are captured using two DG5-VHand data gloves. Data la...

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Veröffentlicht in:	IEEE transactions on human-machine systems 2015-08, Vol.45 (4), p.526-533
Hauptverfasser:	Tubaiz, Noor, Shanableh, Tamer, Assaleh, Khaled
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Assistive technology Feature extraction Gesture recognition Man machine systems pattern recognition sensor gloves sign language recognition Training Vectors
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