June 19, 2024ComputersOpen Access

Empowering Communication: A Deep Learning Framework for Arabic Sign Language Recognition with an Attention Mechanism

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The model achieved accuracies exceeding 85% for individual volunteers, showcasing its effectiveness in gesture recognition.
An LSTM model combined with an attention mechanism processes extracted keypoints from recorded gestures to enhance recognition.
A dataset of fifty frequently used words and numbers in Arabic Sign Language was collected from five volunteers for model training and validation. The experiments showed that the approach improved social integration by facilitating communication for the deaf community.

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Randomized trial demonstrates effective Arabic Sign Language recognition, highlighting technology's potential for communication.

Ameer et al. (2024) studied this question.

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