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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Emotion detection from frontal facial image

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    09101004.pdf (1.133Mb)
    Date
    2013-10
    Publisher
    BRAC University
    Author
    Hussain, Sakib
    Metadata
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    URI
    http://hdl.handle.net/10361/2931
    Abstract
    Emotion recognition from facial images is a very active re-search topic in human computer interaction (HCI). In order to detect Emotion from an image I have used frontal view facial images. If computers can understand more of human emotion, we can make better systems to reduce the gap of human computer interaction .To handle the emotion recognition problem from arbitrary view facial images. The facial region and others part of the body have been segmented from the complex environment based on skin color model. Thus, in this paper I showed some differences between different color models that are used to implement the system and which color model can be used where. Another aspect is to extract facial parts from the face. And for that I have used Viola - Jones algorithm to detect the eye and lips region from a face and then by the help of neural network I have detected emotion from those features. From the positioning of mouth and eyes I tried to detect emotion of a face. In this research I will propose an effective way to detect neutral, happy, sad and surprise these four emotions from frontal facial image of Human Being.
    Keywords
    Emotions; Color Model; Feature extraction; Viola- jones; Neural Network; Emotion recognition; Computer science and engineering
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 28).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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