Sinhala SL Recognition — A Decade Review

Overview

This systematic review surveys a decade of deep learning research on Sinhala Sign Language recognition — consolidating methods, datasets, and open challenges to guide future work in this under-explored area.

What it covers

• A structured synthesis of deep learning architectures applied to Sinhala Sign Language.
• Analysis of dataset availability and gaps that motivated the later SSL400 dataset.
• Identification of open problems in accuracy, efficiency, and real-world deployment.

Gallery

Presentation & videos