000			01589nam a22002177a 4500
999			_c25096 _d25096
003			OSt
005			20190827085257.0
008			190827b ||||| |||| 00| 0 eng d
040			_cMSA
082			_a005
100			_4Mohamed Amr Fouad 160969
245			_aEmotion Recognition System // GP // Dr. Ahmed Farouk (2018 - 2019)
260			_aGIZA _bMSA _c2019
300			_a52 P.
440			_aCOMPUTER SCIENCES DISTINGUISHED PROJECTS 2019
500			_aComputer Science
520			_aFacial Expressions play an important role in the way humans communicate and interact with each other. Where facial expressions are very important tool in behavioral study in learning the meaning of the multiple face expressions that can be used to detect a mood of a specific person, where this method can develop a well understanding conversation between two persons. Understanding a person’s feelings without talking and recognizing his feelings can be very useful for humanity and save a lot of time and effort, also it can be very useful in multiple fields as communicating or in marketing methods where it can be used widely. This work proposes a system that can detect emotions from the facial expressions in the static images where this system uses image processing for identify and classify one of the universal emotions which are Happiness, Sadness, Anger, Disgust, Surprise and Fear in those images.
650			_aEmotion Recognition _xComputer Science
856			_uhttps://drive.google.com/drive/folders/1dTabwLY5lPuV4DnSiyWn-nbGThwjZItU _zFULL TEXT HERE
942			_2ddc _cD.GP