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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46643
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
IndiSign Universe of Hand Gesture and Meaning Interpreter is a machine learning-based assistive communication system that seeks to bridge the communicative gap between People who talk or listen with speech or hearing disabilities. Unlike traditional pre-configured gesture-based sign language interpreters, IndiSign allows users to create and train a customized sign vocabulary. Personalized gestures are detected by real-time computer vision and machine learning, and are immediately translated to text or synthesized speech. The web-based system uses standard webcams with light models like a K-Nearest Neighbors (KNN) classifier, thus enhancing accessibility without requiring specialized hardware by offering a scalable, user-focused, and inclusive platform for communication, IndiSign acts as an instant communicator—enabling a more natural, expressive, and unencumbered interactions in everyday life.
KEYWORDS
Publication Date
1/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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