<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Facial Expression Recognition Using Temporal Templates</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 6 (2012)</Volume>
			<Issue>Issue 2, June 2012</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>25</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Facial Expression Recognition Using Temporal Templates</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi"></ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Mahdi</FirstName>
				<LastName>Bejani</LastName>
				<Affiliation>South Tehran Branch, Islamic Azad University, Tehran. Iran</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Davood</FirstName>
				<LastName>Gharavian</LastName>
				<Affiliation>Department of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Nasrollah</FirstName>
				<LastName>Charkari</LastName>
				<Affiliation>Distributed Processing LAB, Tarbiat Modares University, Tehran, Iran</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>25</Day>
			</PubDate>
		</History>
		<Abstract>To make human–computer interaction (HCI) more natural and friendly, it would be beneficial to give computers the ability to recognize situations the same way a human does. Naturally, people use a spontaneous combination of face, body gesture and speech to express their feelings. In this paper we simulate human perception of emotion with emotion related information from facial expression. Facial expression recognition based upon ITMI and QIM which can be seen as an extension to temporal templates. The system was tested on two different databases, the eNterface‘05 and the Cohn-Kanade face database and the recognition accuracy of our systems ,71.8 % on Cohn-Kanade and 39.27% on eNterface’05, compared to the published results in the literature.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Wireless Sensor Network</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
