Sign language training tool using machine learning techniques

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)...

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Bibliographic Details
Main Authors: Manikanta, Y. M. S. S. S., Reddy, V. R. S. Murthy, Ponmagal, R. S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Machine learning
Recognition
Support vector machines
Online Access:Get full text
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Description
Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0217576