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Emotion Recognition System // GP // Dr. Ahmed Farouk (2018 - 2019) (Record no. 25096)

MARC details
000 -LEADER
fixed length control field 01589nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190827085257.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190827b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency MSA
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005
100 ## - MAIN ENTRY--PERSONAL NAME
Relator code Mohamed Amr Fouad 160969
245 ## - TITLE STATEMENT
Title Emotion Recognition System // GP // Dr. Ahmed Farouk (2018 - 2019)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. GIZA
Name of publisher, distributor, etc. MSA
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 52 P.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title COMPUTER SCIENCES DISTINGUISHED PROJECTS 2019
500 ## - GENERAL NOTE
General note Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. Facial Expressions play an important role in the way humans communicate and interact with<br/>each other. Where facial expressions are very important tool in behavioral study in learning the<br/>meaning of the multiple face expressions that can be used to detect a mood of a specific person,<br/>where this method can develop a well understanding conversation between two persons.<br/>Understanding a person’s feelings without talking and recognizing his feelings can be very<br/>useful for humanity and save a lot of time and effort, also it can be very useful in multiple fields<br/>as communicating or in marketing methods where it can be used widely. This work proposes a<br/>system that can detect emotions from the facial expressions in the static images where this<br/>system uses image processing for identify and classify one of the universal emotions which are<br/>Happiness, Sadness, Anger, Disgust, Surprise and Fear in those images.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Emotion Recognition
General subdivision Computer Science
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/drive/folders/1dTabwLY5lPuV4DnSiyWn-nbGThwjZItU">https://drive.google.com/drive/folders/1dTabwLY5lPuV4DnSiyWn-nbGThwjZItU</a>
Public note FULL TEXT HERE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Distinguished Graduation Projects
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Centeral Library Centeral Library Soft Copy located on library Cataloge 27.08.2019   GP294CS2019 82122 27.08.2019 27.08.2019 Distinguished Graduation Projects