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  <titleInfo>
    <title>Students Affect Predication Framework Using Probabilistic Reasoning</title>
  </titleInfo>
  <name type="personal">
    <namePart>Rahib Ali Jamali 10MSIT21 Dr. Akhtar Hussain Jalbani</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Department of Information Technology</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Nawabshah</placeTerm>
    </place>
    <publisher>QUEST</publisher>
    <dateIssued>2015</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>45p..</extent>
  </physicalDescription>
  <note>ABSTRACT

Communication is important source to exchange information 	between human beings.Good  Communication  skill  is better  for business  as well as .for personal life In common there are two ways that people communicate each other one is verbal and other is nonverbal .people uses those two ways to share their information. These two methods play a vital role in our daily lives. In a nonverbal communication we convey our message through body language, such as Gestures, Posture, Facial expression, eye contact. These body movement's posse's different communication signals and through these communication signals human beings have intelligence to understand and response according to these communcatiote signals. In this paper we developed a model  that  predicts  mental  state from the hand-touch head  (face) unintentional gestures. Hand touch hands gestures are difficult due to same color of skin we use Soble operator and Bayesian Network for predicting the mental state. We use six different gestures to scope of our model and find the mental states behind these gestures.
</note>
  <identifier type="uri">https://tinyurl.com/3rzs3kcc</identifier>
  <location>
    <url>https://tinyurl.com/3rzs3kcc</url>
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