Malaysian Sign Language (MSL) Detection: Comparison of YOLOv5 and CNN

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Malaysian Sign Language (MSL) Detection: Comparison of YOLOv5 and CNN

In addressing the underrepresentation of Malaysian Sign Language (MSL) in sign language detection research, this study evaluates the performance of deep learning models on an MSL dataset to achieve high accuracy, precision, and recall for hand gesture detection and translation. Methodologically, the...

書誌詳細
出版年:	2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024
主要な著者:	Halim, Abdul Hadi Abdul; Ab Rahim, A'zraa Afhzan; Rozaini, Nur Athirah; Hassan, Siti Lailatul Mohd; Halim, Ili Shairah Abdul; Abdullah, Noor Ezan
フォーマット:	Proceedings Paper
言語:	English
出版事項:	IEEE 2024
主題:	Automation & Control Systems; Engineering
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000006

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