Sign language training tool using machine learning techniques.

Autor:	Manikanta, Y. M. S. S. S., Reddy, V. R. S. Murthy, Ponmagal, R. S.
Předmět:	SIGN language AMERICAN Sign Language SUPPORT vector machines MACHINE tools ELECTRIC signs MACHINE learning
Zdroj:	AIP Conference Proceedings; 2024, Vol. 3075 Issue 1, p1-9, 9p
Abstrakt:	Sign language Training tool has been widely used for communication amongst the hearing-impaired and non-verbal community. From early electric signal-based sign language recognition to modern-day machine learning approaches for recognition. Key point detection-based sign language Training Tool (SLT) is our major focus. American Sign Language (ASL), primarily ASL pickle data, is the subject of my study. utilized many ML Algorithms, such as random forest and support vector machines and Knearest neighbor to train the model. Finally, the best model is selected from the model testing using evaluation metrics namelyf1score, precision and recall. Simple GUI is designed to get the user input and the prediction is carried out by the best machinelearning model. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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