Sign Language Recognition (SLR) in low-resource sign languages is still limited due to the lack of annotated data, high variability of signers, and lack of benchmarks; Kazakh Sign Language (KzSL) i...
<p><strong>Tác giả:</strong> Nurzada Amangeldy, Aigerim Yerimbetova, D. S. Zhamangarin, Ulmeken Berzhanova, Bekbolat Kurmetbek, Nazerke Gazizova</p>
<p>Sign Language Recognition (SLR) in low-resource sign languages is still limited due to the lack of annotated data, high variability of signers, and lack of benchmarks; Kazakh Sign Language (KzSL) is a representative example of such a low-resource language. The proposed research introduces a novel method for isolated KzSL recognition based on a purpose-collected dataset of RGB video streams of five signers, represented by 1662-dimensional per-frame pose, facial, and hand landmark vectors extra...</p>
<p>📄 DOI: <a href="https://doi.org/https://doi.org/10.3389/frai.2026.1947364" target="_blank" rel="noopener">https://doi.org/10.3389/frai.2026.1947364</a></p>
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