UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2305C09


Registration ID:
517466

Page Number

m55-m60

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Title

Sign Language Translator

Abstract

This research paper introduces the utilization of frames and various technologies to implement an LSTM deep model for motion-based data analysis. The focus is on analyzing user motion captured through live video streams and training the program using self-assessed live datasets and pre-downloaded sets. The proposed approach leverages the capabilities of LSTM models to capture temporal dependencies in motion data, enabling accurate analysis and prediction of user actions or gestures. The methodology involves preprocessing the input data by extracting frames and enhancing the quality of captured motion. The LSTM deep model is then trained using a combination of self-assessed datasets and pre-downloaded sets to ensure a diverse range of motion variations. The experiments demonstrate the effectiveness of the LSTM-based approach in accurately analyzing motion data in real-time video streams. The findings highlight the significance of LSTM deep models in capturing temporal dependencies, leading to improved motion-based data analysis and gesture recognition.

Key Words

Sign language, Detection of sign language, LSTM model

Cite This Article

"Sign Language Translator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m55-m60, May-2023, Available :http://www.jetir.org/papers/JETIR2305C09.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Sign Language Translator", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm55-m60, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C09.pdf

Publication Details

Published Paper ID: JETIR2305C09
Registration ID: 517466
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34494
Page No: m55-m60
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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