• Yash Chaudhari
• Swati Gade
• Neelam Koli
• Pranav Sanas
• Amruta Tilekar

This paper presents a rigorous review of various technologies and methods used for sign language recognition along with its advantages and disadvantages. More than 70 million impaired people globally use sign language to communicate. It is characterized by fast, highly articulate motion of hand gestures which is difficult for verbal speakers to understand. Nowadays, Hand Gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI). A hand gesture recognition system provides a natural, innovative and modern way of nonverbal communication. In addition, we also proposed a system that will detect various hand-knuckle coordinates and then use a machine-learning model to classify the various hand signs into respective English language alphabets in real-time using a webcam which will eliminate skin-tone related biases and the need for any additional hardware.

Hand Recognition, Sign Language Recognition, Speech Impaired People, Neural Network

"Sign Language Recognition System for Impaired People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.c790-c794, November-2022, Available :http://www.jetir.org/papers/JETIR2211294.pdf

"Sign Language Recognition System for Impaired People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppc790-c794, November-2022, Available at : http://www.jetir.org/papers/JETIR2211294.pdf