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

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...

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Bibliographic Details
Published in:2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024
Main Authors: Halim, Abdul Hadi Abdul; Ab Rahim, A'zraa Afhzan; Rozaini, Nur Athirah; Hassan, Siti Lailatul Mohd; Halim, Ili Shairah Abdul; Abdullah, Noor Ezan
Format: Proceedings Paper
Language:English
Published: IEEE 2024
Subjects:
Automation & Control Systems; Engineering
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000006

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https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000006

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