<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462018000401415</article-id>
<article-id pub-id-type="doi">10.13053/cys-22-4-3046</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Gesture Recognition System For Isolated Word Sign Language Based On key-Point Trajectory Matrix]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fakhfakh]]></surname>
<given-names><![CDATA[Sana]]></given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jemaa]]></surname>
<given-names><![CDATA[Yousra Ben]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,El Manar University Signal and System Research Unit ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Tunisia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>22</volume>
<numero>4</numero>
<fpage>1415</fpage>
<lpage>1430</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462018000401415&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462018000401415&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462018000401415&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This paper suggests a new system to help the deaf and the hearing-impaired community improve their connection with the hearing world and communicate freely. The most important thing in this system is how to help the users be free and finally have a more natural way of communication. For this reason, we present a new process based on two levels: a static-level aiming to extract the most head/hands key points and a dynamic-level with the objective of accumulating the key-point trajectory matrix. Also our proposed approach takes into account the signer-independence constraint. A SIGNUM database is applied in the classification stage and our system performances have improved with a 94.3% recognition rate. Furthermore, a reduction in time processing is obtained when the removing of redundant frame step is applied. The obtained results prove the superiority of our system compared to the state-of- the-art methods in terms of recognition rate and execution time.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Sign language recognition]]></kwd>
<kwd lng="en"><![CDATA[isolated word]]></kwd>
<kwd lng="en"><![CDATA[signer-independence]]></kwd>
<kwd lng="en"><![CDATA[particular filter]]></kwd>
<kwd lng="en"><![CDATA[key-point trajectory matrix]]></kwd>
</kwd-group>
</article-meta>
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