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    • Thesis & Report, BSc (Computer Science and Engineering)
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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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    Comparative analysis of emotion recognition methods

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    Date
    2009-04
    Publisher
    BRAC University
    Author
    Zaman, Mustafa
    Islam, Iftekhairul
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/679
    Abstract
    Recent technological advances have enabled human users to interact with computers in ways previously unimaginable. The aim our thesis is to find out a system where computer can communicate with human more efficiently and more friendly. For that purpose we do studies various possible ways for a computer to communicant with human with limited recourses. In this paper we are trying to describe various algorithms and processes that have been studied all around the world. We also discuss the difficult issues of obtaining reliable affective data, obtaining ground truth for emotion recognition, and the use of unlabeled data.
    Keywords
    Emotional recognition; FACS; Optical Flow; Rule-based; Multimodal approaches; 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, 2009.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 29).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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