Intelligent real-life key-pixel image detection system for early Arabic sign language learners.

ABSTRACT: Lack of an effective early sign language learning framework for a hard-of-hearing population can have traumatic consequences, causing social isolation and unfair treatment in workplaces. Alphabet and digit detection methods have been the basic framework for early sign language learning but are restricted by performance and accuracy, making it difficult to detect signs in real life. This article proposes an improved sign language detection method for early sign language learners based on the You Only Look Once version 8.0 (YOLOv8) algorithm, referred to as the intelligent sign language detection system (iSDS), which exploits the power of deep learning to detect sign language-distinct features. The iSDS method could overcome the false positive rates and improve the accuracy as well as the sp

SUBMITTER: Alamri FS 

PROVIDER: S-EPMC11232623 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature