SMART SIGN LANGUAGE GLOVE FOR DIVERSIFIED USERS
Kumarkaushik K. S, Ravi A.V. Kumar · 2023
In today's world, communication skills are critical for improving interpersonal interactions and managing human resources. In your everyday life, efficient communication skills can help you comprehend and be understood by others, making it easier to navigate relationships. Dialogue is essential in human existence. This gap between specially abled and vocal communicators can be bridged in one of two ways either by learning sign language or by using interpretation. This Research proposes a digital aid, that is in the form of Smart glove, which is focusing on making the smart IoT device usable by everyone. As each human hand is physically different, also bend the fingers create are unique, this is the problem that was addressed in this study by gathering more comprehensive and diverse samples with the help of flex sensor embedded glove, which were then fed into the training model created using the Random Forest algorithm. The model was successful in classifying new data without being overfit or memorised, as indicated by its prediction rate of 0.90 and F-1 Score of 0.82. By increasing its validation accuracy relative to its training accuracy, the model was able to predict new gesture successfully.