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Updated: May 1, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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聴覚や言語障害者を支援する,人工知能ベースの手話認識による深度コンピュータビジョン

Abrar Almjally1,2, Wafa Sulaiman Almukadi3

  • 1Department of Information Technology, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 13318, Saudi Arabia. aamjally@imamu.edu.sa.

Scientific reports
|September 1, 2025
PubMed
まとめ

この研究は,手話認識 (SLR) の新しいディープラーニングモデルを導入しています. ハリス・ホーク・オプティマイゼーション・ベース・ディープ・ラーニング・モデル (HHODLM-SLR) は98.95%の精度を達成し,聴覚障害者のコミュニケーションを向上させます.

キーワード:
ディープラーニングハリス・ホークの最適化聴覚と話す個体画像の事前処理手話の認識

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