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Fusing Geometric and Temporal Deep Features for High-Precision Arabic Sign Language Recognition

Yazeed Alkharijah Shehzad Khalid Syed Muhammad Usman Amina Jameel Danish Hamid

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(7)：P.1113-1141,29.

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(7)：P.1113-1141,29.DOI:10.32604/cmes.2025.068726

Fusing Geometric and Temporal Deep Features for High-Precision Arabic Sign Language Recognition

Yazeed Alkharijah ¹Shehzad Khalid ²Syed Muhammad Usman ³Amina Jameel ²Danish Hamid⁴

作者信息

1. King Salman Center for Disability Research(KSCDR),Riyadh,11614,Saudi Arabia Department of Electrical Engineering,Imam Mohammad ibn Saud Islamic University(IMSIU),Riyadh,11623,Saudi Arabia
2. Department of Computer Engineering,Bahria University,Islamabad,44000,Pakistan
3. Department of Computer Science,Bahria University,Islamabad,44000,Pakistan
4. Department of Creative Technologies,Air University,Islamabad,44000,Pakistan
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摘要

关键词

Arabic sign language recognition/multimodal feature fusion/ensemble classification/skeletal data/inflated 3D ConvNet(I3D)

分类

管理科学

引用本文复制引用

Yazeed Alkharijah,Shehzad Khalid,Syed Muhammad Usman,Amina Jameel,Danish Hamid..Fusing Geometric and Temporal Deep Features for High-Precision Arabic Sign Language Recognition[J].Computer Modeling in Engineering & Sciences,2025,144(7):P.1113-1141,29.

基金项目

funding this work through Research Group No.KS-2024-376. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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