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            <name>Title</name>
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    <name>Article</name>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Continuous emotion estimation for human machine interaction</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Arousal; Emotion recognition; Face detection; Linear regression; Valance</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Humans are able to interact and bond very efficiently with other species because every living organism has some form of emotion in them. Due to the advances in science and technology human life has become more dependent on machines for better living. The recent advances in technology enabled machines to become smarter but not efficient in terms of interaction with humans. Hence to address this issue and to bridge the gap between human machine interactions we propose a system to estimate human emotions from facial expressions. We believe that facial expressions are a form of nonverbal communication and primary means of conveying information. The system uses linear regression model to calculate emotional state of a facial expression which is mapped onto continuous 2-D coordinates with arousal and valence as axis from a captured digital image. Thus the proposed method estimates emotion continuously and predictively like humans rather than classifying the emotions because emotions are continuous and they have many dimensions. By estimating emotions continuously machines can better interact with humans. Experimental results showed that our system provides superior predictive performance.  2015 American Scientific Publishers. All rights reserved.</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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            <elementText elementTextId="139004">
              <text>Lee H.-S.; Xu M.; Karuppusamy N.S.; Kang B.-Y.</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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            <elementText elementTextId="139005">
              <text>Advanced Science Letters, Vol-21, No. 3, pp. 404-407.</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>American Scientific Publishers</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <text>2015-01-01</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.1166/asl.2015.5773" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1166/asl.2015.5773&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941133918&amp;amp;doi=10.1166%2Fasl.2015.5773&amp;amp;partnerID=40&amp;amp;md5=dc6873d6bd593944c25d735827a2abbe" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941133918&amp;amp;doi=10.1166%2fasl.2015.5773&amp;amp;partnerID=40&amp;amp;md5=dc6873d6bd593944c25d735827a2abbe&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="139009">
              <text>Restricted Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISSN: 19366612</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>Online</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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            <elementText elementTextId="139012">
              <text>English</text>
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          <name>Type</name>
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              <text>Article</text>
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              <text>Lee H.-S., School of Mechanical Engineering, Kyungpook National University, Daegu, 702-701, South Korea; Xu M., School of Mechanical Engineering, Kyungpook National University, Daegu, 702-701, South Korea; Karuppusamy N.S., Department of Mechanical Engineering, Christ University, Bangalore, 560029, Karnataka, India; Kang B.-Y., School of Mechanical Engineering, Kyungpook National University, Daegu, 702-701, South Korea</text>
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