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...
| 出版年: | 2024 IEEE 15TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM, ICSGRC 2024 |
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| 主要な著者: | , , , , , , |
| フォーマット: | Proceedings Paper |
| 言語: | English |
| 出版事項: |
IEEE
2024
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001345150000006 |