Paper Title

Gesture Technology for Deaf and Dumb

Authors

LITHIN C T , BALARAJU K B , NANJUNDESHWARA B L , MAHESH ASHOK MANKAR , PAVAN KUMAR E

Keywords

Gesture, Speech recognition, Computer vision.

Abstract

This paper is to perceive different hand motion and order different hand developments used to ease correspondence of hard of hearing and dumb. The hand development for signal recognition can be static or dynamic. The hand motion are caught utilizing a camera, the perceived hand motion are handled utilizing different available algorithms, for example, multivariate fluffy choice tree, hidden Markav model (HMM), support vector machine (SVM) . The motions are caught under legitimate illumination. The caught motion are checked for occlution and finger close motion to distinguish and perceive legitimate motion and disregard some other discontinuous motion . At last, the characterized motions are contrasted with preparing and testing dataset with test yield. This paper is additionally gone for giving discourse to content conversion, speech is the essential method for correspondence, incase of hard of hearing, where it is hard to analyze lip reading. The sound information is taken from microphone and is compared with the google dataset. The coordinated outcome is shown as content output on the display.

How To Cite

"Gesture Technology for Deaf and Dumb", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.500 - 505, May-2018, Available :https://ijsdr.org/papers/IJSDR1805073.pdf

Issue

Volume 3 Issue 5, May-2018

Pages : 500 - 505

Other Publication Details

Paper Reg. ID: IJSDR_180295

Published Paper Id: IJSDR1805073

Downloads: 000347384

Research Area: Engineering

Country: BENGALURU, KARNATAKA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1805073

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1805073

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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