Sign Language Detection System

Sign Language Detection System

Registration ID: IJNRD_196809

Published ID: IJNRD2305693

DOI: Click Here to Get

Prarthana Mozes

Sign Language Detection System, American Sign Language (ASL), Machine learning, Human-Computer interaction, Python, SSD (Single-shot multi-box detector), TensorFlow, OpenCV

Sign language, a visual-spatial language modality, serves as a paramount means of communication for individuals with hearing and speaking impairments. The intricate hand movements, facial expressions, and body postures utilized in sign language facilitate the conveyance of meaning and emotions. Communication between a person with normal hearing and speech abilities and an individual who is deaf and mute poses unique challenges. The absence of verbal language and auditory cues hinders direct interaction and understanding. A sign language detection system acts as a crucial bridge to overcome the communication gap between individuals with hearing impairments and those without. By leveraging machine learning techniques and computer vision algorithms, this system is capable of accurately interpreting and understanding sign language gestures in real-time. This project has the potential to significantly improve accessibility and inclusivity for the deaf and dumb community, enabling effective communication and equal participation in various aspects of life.

Published Paper   E-Certificate

"Sign Language Detection System ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g759-g766, May-2023, Available :https://ijnrd.org/papers/IJNRD2305693.pdf

Volume 8 Issue 5, May-2023

Pages : g759-g766

Paper Reg. ID: IJNRD_196809

Published Paper Id: IJNRD2305693

Downloads: 000121175

Research Area: Computer Engineering 

Country: Durg, Chhattisgarh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305693.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305693

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area