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 lab...
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| Other Authors: | , |
| Format: | article |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/11073/8820 |
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