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Students Effect Predication Framework Using Probabilistic Reasoning

By: Contributor(s): Material type: TextPublication details: Nawabshah: QUEST, 2015,Description: 45p
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Thesis and Dissertation Research Section Available MP/39-433
Thesis and Dissertation Research Section Available P/010-104
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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.

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