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...
發表在: | 2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024 |
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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 |
格式: | Proceedings Paper |
語言: | English |
出版: |
IEEE
2024
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主題: | |
在線閱讀: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000006 |
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