IndiSign: A Universe of Hand Gesture and Meaning
Dr. Mandeep Kaur
School of Computer Applications
Lovely Professional University Punjab, India
mandeep.13695@lpu.co.in
Tanmoy Debnath
School of Computer Applications
Lovely Professional University Punjab, India
tanmoydebofficial.nath@gmail.com
Sreesa S
School of Computer Applications
Lovely Professional University Punjab, India
Ssreesa588@gmail.com
Dhrubojit Chowdhury
School of Computer Applications
Lovely Professional University Punjab, India
dhrubojitc007@gmail.com
Abstract
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
Custom Gesture Recognition, Tailored Gesture Translator, Individualized Sign Language Interpreter, Adaptive Gesture Translation System, Customizable Gesture Vocabulary, User-Centric Gesture Recognition, Unique Gesture Classification, Bespoke Gesture Interpreter, Personalized Sign Language Communication, Custom Gesture-Based Translation, Self-Defined Gesture Recognition.
