Students Effect Predication Framework Using Probabilistic Reasoning (Record no. 56015)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01475nam a22001217a 4500 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Jamali, Rahib Ali |
| -- | 10MSIT21 |
| -- | Supervisor Dr. Akhtar Hussain Jalbani |
| 245 ## - TITLE STATEMENT | |
| Title | Students Effect Predication Framework Using Probabilistic Reasoning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Nawabshah: |
| Name of publisher | QUEST, |
| Year of publication | 2015, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 45p, : |
| 500 ## - GENERAL NOTE | |
| General note | ABSTRACT<br/><br/>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.<br/> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Department of Information Technology Engineering |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis and Dissertation |
| Withdrawn status | Lost status | Home library | Current library | Date acquired | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Research Section | Research Section | 24/11/2016 | P/010-104 | Thesis and Dissertation | ||
| Research Section | Research Section | 27/02/2019 | MP/39-433 | Thesis and Dissertation |