Abstract: 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 ...

Abstract: Technological advancements play a significant role in the integration of deaf and mute individuals into society. Therefore, improvements in sign language recognition systems are of great ...

1st place solution summary: link. Our solution is based on a single encoder-decoder architecture. The encoder is a significantly improved version of Squeezeformer, where the feature extraction was ...

This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication for the ...

Among thousands of languages globally, some are written, some are spoken, while some are signed. Sign languages are unique natural languages widely used in Deaf communities. They express meaning ...

Your browser does not support the audio element. Next, we load our dataset and do some preprocessing. # Load dataset dataset = load_dataset(dataset_id) # Training and ...

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Although data provenance has been studied extensively in the databases community, 3,8 it is rarely discussed in the machine learning community. Documenting the creation and use of datasets has ...