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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024
المؤلفون الرئيسيون:	Halim, Abdul Hadi Abdul; Ab Rahim, A'zraa Afhzan; Rozaini, Nur Athirah; Hassan, Siti Lailatul Mohd; Halim, Ili Shairah Abdul; Abdullah, Noor Ezan
التنسيق:	Proceedings Paper
اللغة:	English
منشور في:	IEEE 2024
الموضوعات:	Automation & Control Systems; Engineering
الوصول للمادة أونلاين:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000006

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