UGC Approved Journal no 63975(19)

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

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIRBC06026


Registration ID:
207164

Page Number

164-170

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Title

A FACIAL-EXPRESSION MONITORING SYSTEM FOR IMPROVED HEALTHCARE IN SMART CITIES

Abstract

Human facial expressions change with various conditions of wellbeing; in this way, a facial-demeanor acknowledgment system can be advantageous to a medicinal services structure. In this paper, a facial-demeanor acknowledgment system is proposed to improve the administration of the medicinal services in a brilliant city. The proposed system applies a bandlet change to a face picture to extricate sub-groups. At that point, a weighted, focus symmetric neighborhood twofold example (CS-LBP) is connected to each sub-band obstruct by-square. The CS-LBP histograms of the squares are connected to deliver a component vector of the face picture. A discretionary component determination method chooses the most predominant highlights, which are then nourished into two classifiers: a Gaussian mixture model (GMM) and a support vector machine (SVM). The scores of these classifiers are melded by weight to create a certainty score (CS), which is utilized to settle on choices about the facial demeanor's sort. A few investigations are performed utilizing an expansive arrangement of information to approve the proposed system. Test results demonstrate that the proposed system can perceive facial expressions with 99.95% precision.

Key Words

A FACIAL-EXPRESSION MONITORING SYSTEM FOR IMPROVED HEALTHCARE IN SMART CITIES

Cite This Article

"A FACIAL-EXPRESSION MONITORING SYSTEM FOR IMPROVED HEALTHCARE IN SMART CITIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.164-170, April-2019, Available :http://www.jetir.org/papers/JETIRBC06026.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

"A FACIAL-EXPRESSION MONITORING SYSTEM FOR IMPROVED HEALTHCARE IN SMART CITIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp164-170, April-2019, Available at : http://www.jetir.org/papers/JETIRBC06026.pdf

Publication Details

Published Paper ID: JETIRBC06026
Registration ID: 207164
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 164-170
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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