A Real-Time Sign Language Prediction Framework Enhancing Eommunication for Specially Abled People

Technology has advanced significantly. By recording and analyzing speech against existing data, we can interpret communication from mute or deaf individuals. Our proposal introduces technology to aid people with disabilities like Deafness, Mutism, or Blindness, acting as sensory substitutes. Object...

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Bibliographic Details
Published in2024 International Conference on Communication, Computing and Internet of Things (IC3IoT) pp. 1 - 5
Main Authors Jeya Ganesan, J, Sathiya, A, Vedhagiri, A, Radha Rukman, B
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.04.2024
Subjects
Assistive technologies
Auditory system
Deep Learning
Eigen Face Based Algorithm
Face recognition
Image recognition
Neural Networking
Real-time systems
Sign language
Video sequences
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DOI10.1109/IC3IoT60841.2024.10550290

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Summary:Technology has advanced significantly. By recording and analyzing speech against existing data, we can interpret communication from mute or deaf individuals. Our proposal introduces technology to aid people with disabilities like Deafness, Mutism, or Blindness, acting as sensory substitutes. Object recognition through image processing grants the blind vision, while Bluetooth or radio-enabled text-to-speech and speech-to-text features facilitate communication for the deaf and mute.
DOI:10.1109/IC3IoT60841.2024.10550290