JOURNAL ARTICLE

Indian sign language recognition and translation: Text to sign language using deep learning technique

Pooja SharmaSonal BalpandeN. SharmaGanesh GoursheteDisha BendaleGeetanjali Rohan Kalme

Year: 2024 Journal:   AIP conference proceedings Vol: 3119 Pages: 020027-020027   Publisher: American Institute of Physics

Abstract

There are so many brilliant ideas that can help others that come from people who are deaf, mute, or unable to communicate. However, those thoughts go unnoticed because other people do not know how to communicate with these unique people. Through Sign language, deaf and mute people who are unable to communicate can have a conversation by using gestures, particularly hands, and arms. Sign language. Many people who don't know sign language require a means of communication with those who do. The system proposed is for Indian Sign language that can be used as a communication tool. The technology can recognize sign language and convert it into text for users. The VGG16 algorithm is used for recognizing sign language. Additionally, text input will be taken from the user and translated into sign language using the NLP algorithm. People who can or cannot understand sign language will find it simple to communicate with one another through this system.

Keywords:
Sign language Gesture Computer science Sign (mathematics) Conversation Language interpretation Manually coded language Linguistics Gesture recognition Natural language processing Artificial intelligence Natural language Mathematics

Metrics

1
Cited By
0.78
FWCI (Field Weighted Citation Impact)
15
Refs
0.59
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
Hearing Impairment and Communication
Social Sciences →  Psychology →  Developmental and Educational Psychology
Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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