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Found 3 papers, 1 papers with code
PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset
Our contributions: i) we design a framework to annotate a sign Language dataset; ii) we release the first annotated LSP multi-modal interpretation dataset (AEC); iii) we evaluate the annotation done by hearing people by training a sign language recognition model.
A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages
On the other hand, our similarity measurement between British and Australian Sign language just holds for part of the Australian Sign Language and not the whole data sample.
Isolated Sign Language Recognition based on Tree Structure Skeleton Images
We evaluated the effectiveness of our model on the Ankara University Turkish Sign Language (TSL) dataset, AUTSL, and a Mexican Sign Language (LSM) dataset.
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